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Tiêu đề How Can Frontline Managers’ Creativity in the Hospitality Industry Be Enhanced? Evidence From An Emerging Country
Tác giả Vo-Thanh Tan, Van Thac Dang, Mai Nguyen Lisovich, Tan Vo-Thanh, Jianming Wang, Ninh Nguyen
Trường học Dong Nai Technology University
Chuyên ngành Hospitality and Tourism Management
Thể loại Research Article
Năm xuất bản 2021
Thành phố Dong Nai
Định dạng
Số trang 12
Dung lượng 1,47 MB

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Evidence from an emerging country Van Thac Danga, Mai Nguyen Lisovichb, Tan Vo-Thanhc, Jianming Wangd,*, Ninh Nguyene aDepartment of Business Administration, Business School, Shantou Un

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TRƯỜNG ĐẠI HỌC CÔNG NGHỆ ĐỒNG NAI

BÀI BÁO ĐĂNG TRONG TẠP CHÍ QUỐC TẾ

THUỘC DANH MỤC ISI

JOURNAL OF HOSPITALITY AND TOURISM MANAGEMENT

ISSN: 1447-6770 (Print); 1839-5260 (Online), SSCI

Impact Factor: 5.959 (2020)

Published online: 27 August 2021

Research Article:

HOW CAN FRONTLINE MANAGERS’ CREATIVITY IN THE HOSPITALITY INDUSTRY BE ENHANCED? EVIDENCE FROM AN EMERGING COUNTRY

Vo-Thanh Tan, Tourism Department, Economics – Management Faculty, Dong Nai Technology University, Dong Nai, Vietnam

Địa chỉ tra cứu bài báo:

https://www.sciencedirect.com/science/article/abs/pii/S144767702100139X

Địa chỉ tải bài báo: https://doi.org/10.1016/j.jhtm.2021.08.018

Đồng Nai - Năm 2021

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Available online 27 August 2021

1447-6770/© 2021 The Authors

How can frontline managers’ creativity in the hospitality industry be

enhanced? Evidence from an emerging country

Van Thac Danga, Mai Nguyen Lisovichb, Tan Vo-Thanhc, Jianming Wangd,*, Ninh Nguyene

aDepartment of Business Administration, Business School, Shantou University, Guangdong, China

bFaculty of Business Administration, Van Lang University, Ho Chi Minh City, Viet Nam

cDepartment of Tourism Management, Dong Nai Technology University, Bien Hoa, Viet Nam

dSchool of Business Administration, Zhejiang University of Finance & Economics, Hangzhou, China

eCharles Darwin University, Asia Pacific College of Business and Law, Darwin City, Australia

A R T I C L E I N F O

Keywords:

Workplace learning

Knowledge sharing

Cognitive flexibility

Creativity

Hotel

A B S T R A C T

On the basis of social cognitive theory, social interaction theory, and cognitive flexibility theory, this study investigates the relationship between workplace learning and frontline managers’ creativity in the hospitality industry, with the mediating roles of knowledge sharing and cognitive flexibility This study uses structural equation modeling to test hypotheses using a three-wave time-lagged sample data of 307 frontline managers in the hospitality industry in Vietnam Results show that workplace learning is positively related to frontline managers’ creativity Furthermore, knowledge sharing has a positive mediating effect in the relationship be-tween workplace learning and frontline managers’ creativity In addition, cognitive flexibility positively medi-ates the relationship between workplace learning and frontline managers’ creativity Cognitive flexibility also positively mediates the relationship between knowledge sharing and frontline managers’ creativity These findings provide implications for both academics and practitioners in the hospitality industry regarding enhancing frontline managers’ creativity through workplace learning, knowledge sharing, and cognitive flexibility

1 Introduction

The hospitality industry often requires a high level of creativity and

innovation (Romero & Tejada, 2020) One of the competitive

advan-tages of hospitality companies is rooted in creativity (Kitsios &

Grigor-oudis, 2020), because creativity helps hospitality companies improve

service quality that meets customer demands (Romero & Tejada, 2020)

Frontline managers in a hospitality company are people who are directly

responsible for managing, supervising, and training frontline employees

Frontline managers also need to understand the job of all frontline

employees and the whole service process of a hospitality company (Lee,

Townsend, & Wilkinson, 2020) For example, a frontline manager may

often deal with customer complaints, and hence understand customers’

problems better than other types of managers in their company He/she

may also understand what is wrong with service process that cannot

meet customer demands In this case, if a frontline manager has a new

idea to improve frontline employees’ skills and service process, service

quality of a hospitality company can be improved to meet customer demands (Nasution & Mavondo, 2008) Therefore, frontline managers’ creativity could help frontline employees better accomplish their jobs, satisfy customer demand, and boost hospitality company’s competi-tiveness (Romero & Tejada, 2020)

Although frontline managers’ creativity is very important to a hos-pitality company (Baradarani & Kilic, 2018), to our best knowledge, very few studies have determined frontline managers’ creativity in the hospitality industry For example, in reviewing the hospitality literature,

Hon and Lui (2016) and Kitsios and Grigoroudis (2020) concluded that most of prior studies have mainly focused on frontline employees’ creativity and service innovation The possible reason is that frontline employees are people who often directly interact with customers; their creativity has a direct impact on improving customer’s experience (Kitsios & Grigoroudis, 2020) However, given the important role of frontline managers’ creativity in improving frontline employees’ job performance and service quality (Romero & Tejada, 2020), it is worthy

* Corresponding author

E-mail addresses: wshdang@stu.edu.cn (V.T Dang), mai.nq@vlu.edu.vn (M.N Lisovich), vothanht@excelia-group.com (T Vo-Thanh), sjwjm@zufe.edu.cn

(J Wang), ninh.nguyen@cdu.edu.au (N Nguyen)

Contents lists available at ScienceDirect

Journal of Hospitality and Tourism Management

journal homepage: www.elsevier.com/locate/jhtm

https://doi.org/10.1016/j.jhtm.2021.08.018

Received 15 April 2021; Received in revised form 4 August 2021; Accepted 21 August 2021

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to determine frontline mangers’ creativity in the hospitality industry

In the hospitality industry, frontline managers need to possess

knowledge, skills, and experiences on both micro and marco level (Wong

& Pang, 2003) On a micro level, an individual frontline manager need

to have necessary knowledge and skills to perform a specific job before

he/she is promoted to a manager position (K¨oseoglu et al., 2020) On a

macro level, an individual frontline manager need to have knowledge

and understanding of all job of each frontline employee and the whole

service process of a hospitality company, because he/she is responsible

for managing, supervising, and training all frontline employees

(K¨oseoglu et al., 2020) In order to possess knowledge, skills, and

ex-periences at both micro and macro levels, frontline managers need to be

trained and educated in their workplace (Theodosiou et al., 2012) In

this case, workplace learning provides necessary knowledge, skills, and

experiences for frontline managers to succeed in their job position

(Kellner et al., 2016) Furthermore, when frontline managers learn rich

knowledge and skills from different training and learning programs,

they tend to be more creative in their work (Cohen, 2013) Therefore,

workplace learning may enhance frontline managers’ creativity

Furthermore, knowledge sharing is identified as an important factor

that contributes to service innovation in the hospitality industry (Chen &

Cheng, 2012) A frontline manager often has to work directly with both

customers and frontline employees He/she needs to be more creatitive

to fulfill high demand from customers and complex requirements from

frontline employees (Yang, 2010) Advanced knowledge from sharing

activities in the workplace may increase frontline managers’ creativity

to improve service quality and meet high demand from customers (Chen

& Cheng, 2012; Swanson et al., 2020) Thus, knowledge sharing may

play an important role in affecting frontline managers’ creativity

In addition, the work of frontline managers in the hospitality

in-dustry often requires high flexibility (Baradarani & Kilic, 2018)

Unex-pected events and constantly changing demand of customers often

require quick responses from frontline managers Specifically, frontline

managers need to think and deal flexibly with different perspectives to

solve problems (Dajani & Uddin, 2015) In other words, cognitive

flex-ibility is an important factor that helps frontline managers deal with

complex problems in work environment (Theodosiou et al., 2012)

Cognitive flexibility may play a role in affecting frontline managers’

creativity, because it helps to enhance frontline managers’ ability to

think and act flexibly (Ou et al., 2018)

Given the aforementioned, this study aims at investigating the

rela-tionship between workplace learning and frontline managers’ creativity

in the hospitality industry, with the mediating roles of knowledge

sharing and cognitive flexibility This study will contribute to the

cur-rent literature in several ways First, anchored on social cognitive theory

(Bandura, 1986; Miller & Dollard, 1941), this study sheds a new light on

the issue of frontline managers’ creativity in the hospitality industry

Second, drawing on the theoretical foundation of social interaction

theory (Bales, 2000; Turner, 1988), this study infers and helps clarify the

mediating mechanism of knowledge sharing in the link between

work-place learning and frontline managers’ creativity Third, based on

cognitive flexibility theory (Spiro et al., 1987, 1988), this study enriches

current knowledge about the mediating role of cognitive flexibility in

the effects of workplace learning and knowledge sharing on frontline

managers’ creativity Finally, this study’s findings provide valuable

implications for developing frontline managers’ creativity through

enhancing workplace learning, knowledge sharing, and cognitive

flexibility

2 Literature review and hypotheses

2.1 Theoretical background

This study is underpinned by social cognitive theory (SCT), social

interaction theory (SIT), and cognitive flexibility theory (CFT) SCT

states that learning is a mental process of gaining knowledge and

understanding through sensation and thinking process (Bandura, 1986;

Miller & Dollard, 1941) Specifically, people observe and receive in-formation from the external environment, which is turned into new knowledge through cognitive processes, in which people’s brain works

to comprehend and memorize the information (Solomon, 2018; Ten-nyson, 1990) Consequently, people may apply what they have learned

to solve problems in current and future situations (Tennyson, 1990), as well as increase their work performance (Sternberg & Zhang, 2014) SCT has been successfully used to explain learning behavior and its outcomes

in the fields of psychology, organizational management, and education (Solomon, 2019) Hence, SCT informed this study to explain the rela-tionship between workplace learning and frontline managers’ creativity SIT refers to the interaction among people in a society where people learn and form attitudes and behavior through social interaction process (Bales, 2000; Turner, 1988) In a social context, people can learn knowledge, skills, and experiences because people obtain and integrate information through communication and interaction (Turner, 1988) SIT has been widely used to explain leaning and sharing behavior in physical and virtual environments (Dang, 2021) The present study therefore based on SIT to investigate the mediating mechanism of knowledge sharing in the relationship between workplace learning and frontline managers’ creativity

CFT was first proposed by Spiro et al (1987, 1988) to clarify the role

of cognitive process in affecting the success of advanced knowledge transfer in problem solving and decision making Essentially, cognitive flexibility triggers individuals to switch between different perspectives and strategies, which allow them to effectively process information and deeply understand different concepts (Spiro et al., 1988) Furthermore, cognitive flexibility works to break cognitive persistence and make in-dividuals sensitive to alternatives (Eslinger & Grattan, 1993) Through a process of flexible adaptation and internal state change, cognitive flex-ibility helps individuals obtain advanced knowledge and transfer it to comprehend and solve problems (Ritter et al., 2012) Thus, the current study used CFT to infer the mediating role of cognitive flexibility in the link between workplace learning and frontline managers’ creativity, and that between knowledge sharing and frontline managers’ creativity

2.2 Workplace learning and individual creativity 2.2.1 Workplace learning

Workplace learning is defined as “the processes and outcomes of learning that individual employees and groups of employees undertake under the auspices of a particular workplace” (Holliday & Retallick,

1995, p 7) Particularly, workplace learning refers to training, teaching, and learning activities that occur in the work environment where em-ployees can obtain knowledge, skills, and experiences that enhance their productivity and work performance (Dang & Chou, 2019) Workplace learning is a multidimensional construct that includes three dimensions, namely, informal, incidental, and formal learning (Watkins & Marsick,

1992) Informal learning does not occur in the classroom or educational institution with formal educational programs It occurs in the workplace

as a results of interaction, teamwork, or problem solving among em-ployees and with supervisors (Kyndt et al., 2013) Incidental learning often occurs as a byproducts of interaction in the workplace or as a result

of a trial-and-error process and organizational supports (Rowden, 2002) Formal learning refers to formal training programs that are officially designed for employees with formal supports from organizations and leaders (Rowden, 2002) These dimensions of workplace learning make employees learn new knowledge, skills, and experiences in their work environment effectively (Billett, 2020) In the hospitality industry, the concept of workplace learning is viewed as the training, teaching, and learning activities that occur in a service context in which frontline managers can obtain knowledge, skills, and experiences Similarly, workplace learning in the hospitality industry also includes formal, informal, and incidental learning activites in a service context

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2.2.2 Individual creativity

Creativity is often viewed as an important source of firms’ innovation

and competitive advantage (Gong et al., 2009) The difference between

creativity and innovation has been discussed in piror literature (Gong

et al., 2009) The former refers to the action of new idea generation

whereas the latter refers to the convertion of new idea into an end

product (Perry-Smith & Mannucci, 2015) At an individual level,

crea-tivity refers to “activities undertaken by individuals within an

organi-zation to enhance their capability for developing something, which is

meaningful and novel within their work environment” (Bharadwaj &

Menon, 2000, p 425) Individual creativity is often treated as a single

construct in prior literature It reflects the use of knowledge and ability

to generate useful and novel ideas (Gong et al., 2009)

2.2.3 The relationship between workplace learning and creativity

In a working environment, creativity is often viewed as a source of

competitive advantage for organizations, because creativity creates new

products and services that meet customer demands (Orfila-Sintes &

Mattsson, 2009) However, creativity often requires the creation of new

and useful ideas, and individuals are one of the most important sources

of new idea generation (Armstrong et al., 2018) From formal learning,

informal learning, and social interaction in the workplace, individuals

can gain new knowledge and skills These knowledge and skills will help

individuals prepare new abilities and use their new knowledge to

generate ideas for innovation (Orfila-Sintes & Mattsson, 2009) For

example, a formal learning program about service innovation with

professional experts designed by a hospitality company may help

in-crease frontline managers’ new knowledge and motivate them toward

service innovation (Vladimirov & Williams, 2018) Furthermore, an

interaction with coworkers and customers may help frontline managers

understand their customers and implement innovation in improving

service process to satisfy customer needs (Enz & Siguaw, 2003)

On the basis of SCT, when frontline managers participate in

work-place learning, they will obtain new knowledge and experiences through

cognitive process Consequently, frontline managers may use their new

knowledge and experience to engage in creative activities (Nooteboom,

2000) That is, mental processes help frontline managers obtain new

sources of information in the workplace Through comprehension and

integration of new information and knowledge, they can generate new

ideas and be creative by combining new information and knowledge

into their current knowledge base (Nieves & Diaz-Meneses, 2018)

Therefore, workplace learning will enhance frontline managers’

crea-tivity because they gain new ideas from various sources of information

in the workplace (Nooteboom, 2000) Thus, the following hypothesis is

developed

H1 Workplace learning is positively related to frontline managers’

creativity

2.3 Knowledge sharing and its mediating role

2.3.1 Knowledge sharing

Knowledge sharing is a core concept in knowledge management of

organizations (Weathersby, 1999) It refers to “the provision of task

information and know-how to help others and to collaborate with others

to solve problems, develop new ideas, or implement policies or

pro-cedures” (Kim & Lee, 2013, p 327) Specifically, knowledge sharing

reflects the exchange of advanced knowledge, skills, and experiences

between employees through the entire organization (Kim et al., 2013)

That is, individuals may learn knowledge from different sources and

they share it with coworkers after knowledge has been absorbed,

pro-cessed, and refined in their brains (Shah et al., 2020) Knowledge

sharing is known as a key factor that helps organizations gain higher

effectiveness, better competitiveness, and greater performance (Kim &

Yun, 2015)

Carmeli et al (2013) suggested that knowledge sharing increases

employees’ problem-solving capacity De Clercq and Pereira (2020)

found a positive effect of knowledge sharing on employees’ creative behavior Lee, Malik, et al (2020) found a positive relationship between knowledge sharing and employee performance Poleacovschi et al (2017) reported a positive effect of knowledge sharing on employees’ time savings Salehi-Kordabadi and Zad-Doosti (2020) found that knowledge sharing among employees enhances team performance These studies have provided evidence for the important role of knowl-edge sharing in affecting employee behavior and performance in an organization Thus, findings from these studies may provide basis to clarify that knowledge sharing is also important in the context of the hospitality industry, because it may help frontline managers obtain advanced knowledge and skills that are useful for their work (Chen & Cheng, 2012; Yang, 2010)

2.3.2 The mediating role of knowledge sharing

In a working environment, SIT can be used to explain the relation-ship among workplace learning, knowledge sharing behavior, and in-dividual creativity Accordingly, learning and training in a working environment is a social interaction process that occurs in different di-rections (Dang & Chou, 2019) That is, when individuals learn new knowledge and skills from formal learning programs and informal interaction with their coworkers, they may share these knowledge and skills with other coworkers as a result of discussion, meeting, and interaction in the workplace (Manuti et al., 2015) Particularly, when individuals engage in learning activities, they will also engage in knowledge sharing activities, because both learning and sharing activ-ities often occur in interaction and discussion in a working environment (Wang, 2018) For example, a local manager may learn how to operate a machine through a formal training program and then he/she may teach

a new foreign worker to operate that machine based on what he/she has learned (Dang et al., 2020) Thus, when individuals learn new knowl-edge and skills, they tend to share with other coworkers, because they automatically and forcibly engage in social interactions in which learning and sharing behavior may occur intentionally or unintention-ally in the workplace (Wang, 2018) In other words, workplace learning enhances knowledge sharing as a result of interaction and discussion in a working environment (Wang, 2018)

Furthermore, as individuals learn and share knowledge with one another in the workplace, they will also obtain new knowledge, skills, and experiences (Manuti et al., 2015; Rowden, 2002) As a result, a rich knowledge base will enhance individuals’ capability and creativity, because they can develop various new and useful ideas when they have rich information and knowledge (Shah et al., 2020) That is, knowledge sharing helps to increase individuals’ creativity, because knowledge sharing activities enrich individuals’ knowledge base with useful in-formation and ideas (Harel et al., 2020; Zohoori et al., 2013) Several studies have found a positive relationship between knowledge sharing and creative behavior For example, Yeh et al (2012), Zohoori et al (2013), and Harel et al (2020) found that knowledge sharing helps create new knowledge that improves individuals’ creativity and orga-nization innovation

In the context of the hospitality industry, a frontline manager is often responsible for the works of all frontline employees He/she is also responsible for solving customer problems (Theodosiou et al., 2012) The requirements of the work of a frontline manager require him/her to have rich knowledge and skills in their positions (Romero & Tejada,

2020) In accordance with SIT, frontline managers can obtain knowl-edge and skills through workplace learning and interaction Specifically, formal and informal learning activities provide opportunity for frontline managers to gain new knowledge and skills (Rowden, 2002) Moreover,

to ensure high service quality for customers, frontline managers must train and educate frontline employees This can be done through social interaction and training activities, where frontline managers provide and share what they have learned with frontline employees (Wang,

2018) These knowledge sharing activities also enable frontline

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managers to gain new information and useful ideas from other

co-workers and frontline employees (Bales, 2000; Turner, 1988), since such

activities are social interaction which often occurs in different directions

(Kandampully & Suhartanto, 2000) As a result, knowledge sharing

ac-tivities enhance frontline managers’ ability to create new ideas, based on

the knowledge obtained through social interaction with other coworkers

and frontline employees (Chen & Cheng, 2012) Thus, it is expected that

workplace learning enhances knowledge sharing, which in turn

in-creases frontline managers’ creativity Thus, the following hypothesis is

developed

H2 Knowledge sharing positively mediates the relationship between

workplace learning and frontline managers’ creativity

2.4 Cognitive flexibility and its mediating role

2.4.1 Cognitive flexibility

Cognitive flexibility refers to individuals’ “(a) awareness that in any

given situation there are options and alternatives available, (b)

willing-ness to be flexible and adapt to the situation, and (c) belief that one has

the ability to be flexible” (Martin & Anderson, 1998, p 4) In other

words, cognitive flexibility is defined as a person’s ability to think and

deal flexibly with different perspectives (Ou et al., 2018) Specifically,

cognitive flexibility reflects individuals’ ability to “break old cognitive

patterns, overcome functional fixedness, and novel associations between

concepts” (Ritter et al., 2012, p 961) In the hospitality industry, due to

frontline managers often deal with complex problems (e.g., customer

complaints, service failure, employee conflicts), cognitive flexibility

may be an important factor that helps frontline managers come up with

new solutions for their problems Thus, cognitive flexibility is

consid-ered as important factor in our research model

2.4.2 The mediating role of cognitive flexibility

According to CFT (Spiro et al., 1987, 1988), conceptual complexity

and ill-structuredness of concepts restrict knowledge acquisition In the

case of lack of cognitive flexibility, people cannot understand and obtain

knowledge, because people do not engage in deep mental processes

(Dajani & Uddin, 2015; Moore & Malinowski, 2009) By contrast, people

who engage in cognitive flexibility will easily “attain a deeper

under-standing of content material, reason with it, and apply it flexibly in

diverse contexts” (Spiro et al., 1988, p 2) That is, people use deep

mental processes to promote multiple alternative systems of linkage

among knowledge elements This process will help people generate new

ideas and be creative, because cognitive flexibility is a dynamic process

that helps people obtain new and advanced knowledge (Martin &

Anderson, 1998) In other words, through deep mental processes, people

process information, obtain new knowledge, and integrate it into their

current knowledge base With rich and advanced knowledge acquisition,

people may be more effective and flexible in transferring their

knowl-edge into creative behavior (Ou et al., 2018) Thus, according to CFT,

cognitive flexibility can enhance creativity

Furthermore, according to CFT, cognitive flexibility is a mental

process in which individuals mentally acquire and process information

and knowledge from external contexts (Spiro et al., 1987, 1988) In the

context of the hospitality industry, workplace learning is inputs for

frontline managers’ cognitive process, because they acquire and

comprehend content materials from formal and informal learning

ac-tivities (Rowden, 2002) As a result, learning activities help frontline

managers create new knowledge through mental processes (Kim & Yun,

2015; Lee, Legood, et al., 2020) In other words, learning in the

work-place provides rich sources of information and knowledge base for

frontline managers who will engage in cognitive processes to acquire

advanced knowledge in the workplace (Yeh et al., 2012) Consequently,

frontline managers may find it flexible to apply their obtained

knowl-edge to problem solving and decision making (Ritter et al., 2012) Thus,

workplace learning increases frontline managers’ cognitive flexibility

because workplace learning provides rich materials and information for frontline managers to dynamically engage in cognitive processes (Kim & Yun, 2015)

According to CFT, workplace learning enhances frontline managers’ ability to think and deal flexibly with different perspectives, because frontline managers can obtain new knowledge and skills from learning activities through cognitive processes (Moore & Malinowski, 2009) As a result, frontline managers may depend on a rich knowledge base and system of linkages among knowledge elements to engage in new idea development and creative behavior (Martin & Anderson, 1998; Ou et al.,

2018) Therefore, workplace learning increases cognitive flexibility, which in turn enhances frontline managers’ creativity The following hypothesis is developed

H3 Cognitive flexibility positively mediates the relationship between

workplace learning and frontline managers’ creativity

Similarly, knowledge sharing is another way for frontline managers

to involve in cognitive processes When frontline managers engage in knowledge sharing activities, they participate in social interaction and discussion (Kim & Lee, 2013) Due to knowledge sharing provides advanced knowledge and useful information, frontline managers can engage in mental processes to deal with different alternatives This is because knowledge sharing provides rich information and useful ideas that trigger cognitive processes to interpret, integrate, and combine new information and ideas into current knowledge base in an individual’s brain (De Clercq & Pereira, 2020) That is, knowledge sharing increases frontline managers’ ability to deal flexibly with information and ideas from sharing activities Thus, knowledge sharing increases frontline managers’ cognitive flexibility

According to CFT, cognitive processes help an individual successfully transform knowledge into problem solving and decision-making (Martin

& Anderson, 1998) When knowledge sharing drives frontline managers engaging in a cognitive process, frontline managers may flexibly and dynamically deal with different information and useful ideas from sharing activities (Dajani & Uddin, 2015) As cognitive flexibility works

in a dynamic way to interpret, integrate, and combine information and knowledge obtained from sharing activities, frontline managers are more likely to be creative, because cognitive flexibility helps them come

up with different alternatives in problem solving (Eslinger & Grattan,

1993) In other words, knowledge sharing enhances frontline managers’ cognitive flexibility, which in turn increases creative behavior Thus, the following hypothesis is developed

H4 Cognitive flexibility positively mediates the relationship between

knowledge sharing and frontline managers’ creativity

Fig 1 shows the research model of this study

3 Methods

3.1 Research design

The current study employed a hypo-deductive quantitative research design (Saunders et al., 2019) Accordingly, the research model and hypotheses were developed on the basis of relevant theories and studies

in the literature, and then tested using quantitative data obtained from a survey Specifically, the survey questionnaire was developed using a backward translation technique Next, a pilot test was conducted to ensure the quality of this questionnaire This was followed by a formal survey aimed at collecting sample data Finally, the data were analyzed using advanced statistical techniques and software

3.2 Sample procedure

Following McGorry’s (2000) method, a backward translation was adopted to design the questionnaire Particularly, a professional trans-lator was invited to translate the questionnaire from English to

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Vietnamese and translated back into English by another translator A

third translator rechecked the questionnaire between English and

Viet-namese Furthermore, three doctoral students were invited to check the

wordings and meanings of each item in the questionnaire After that, this

study conducted a pilot test with a sample of 20 hotel frontline managers

in Vietnam These managers reported a good understanding and

clari-fication of the wordings and meaning of the measurement items Hence,

no modifications were made to the questionnaire Finally, a formal

survey was conducted to collect data

The target sample was frontline managers from hotels in Vung Tau

City Vung Tau City is one of the largest tourism cities in Vietnam, which

attracts several domestic and foreign tourists yearly It is qualified as one

of the best regional tourism cities in Asia-Pacific Through a Facebook

hotel community, a list of more than 12,000 hotels was obtained Based

on their websites, a target sample of 600 three-to five-star hotels was

randomly selected The frontline managers of these hotels were

con-tacted via telephone and face-to-face to request their participation This

study only focused on managers of departments that directly deal with

customers because these departments need high levels of service

inno-vation (Baradarani & Kilic, 2018) To ensure selecting qualified

re-spondents (i.e., frontline managers), a filter question – “Are you

manager of a customer service department?” – was employed A sample

data of 310 questionnaires was obtained, and 307 questionnaires were

valid with a response rate of 51.17% Only three questionnaires were

invalid with some missing values and excluded from the final sample

Table 1 presents the demographic characteristics of the respondents

3.3 Measures

Variables in this study were measured using existing measurement

scales from previous studies These measurement scales were adopted because they have been widely used in extant literature with high reli-ability and validity (Dang & Chou, 2019; Gong et al., 2009; Yu et al.,

2010; Zhang & Bartol, 2010) The reliability values for these measure-ment scales were 0.90 for “workplace learning”, 0.80 for “knowledge sharing”, 0.80 for “cognitive flexibility”, and 0.81 for “creativity” The survey was conducted in a three-wave time-lagged period Each stage was lagged 30 days In the first stage (January 2021), workplace learning and respondents’ demographic characteristics were completed

by the frontline managers In the second stage (February 2021), the frontline managers completed the measures of knowledge sharing and cognitive flexibility In the final stage (March 2021), frontline managers’ creativity was measured by their direct supervisor All items were measured using a five-point Likert-type scale (1 = strongly disagree, 5 = strongly agree) Table 2 shows the variables, items, and sources of each measurement scale

3.4 Ethical consideration

Since the research design involved human subjects, ethical standards should be considered in this study Because there are no formal ethical standards for social sciences research in Vietnam, this study followed the ethical standards suggested by the American Psychological Association

to conduct the survey design Respondents voluntarily participated in the survey and they were announced that their anonymity were guar-anteed and that the survey was for academic purpose only

3.5 Analysis methods

To analyze data and test hypotheses, this study used SPSS 20 and structural equation modeling with AMOS 20 statistical software First, SPSS 20 was used to screen data and analyze descriptive statistics, Pearson’s correlation, and reliability of variables Second, Amos 20 was adopted to perform confirmatory factor analysis (CFA) and test the validity of variables and hypotheses in the research model

Some variables were controlled in the analysis due to their potential impact on the dependent variable These control variables were re-spondents’ gender, age, education, marital status, and tenure

4 Results

4.1 Results of descriptive statistics

Table 3 presents the descriptive statistics and Pearson’s correlations between the variables in this study Workplace learning was positively

related to knowledge sharing (r = 0.50, p < 0.01), cognitive flexibility (r

=0.54, p < 0.01), and creativity (r = 0.57, p < 0.01) Furthermore,

knowledge sharing was positively related to cognitive flexibility (r =

0.55, p < 0.01) and creativity (r = 0.53, p < 0.01) In addition, cognitive flexibility was positively related to creativity (r = 0.58, p < 0.01) Given

that the Pearson’s correlations between variables were slightly high, we

Fig 1 Research model

Table 1

Demographics of respondents

Variable Frequency Percent

Gender

Male 235 76.5%

Female 72 23.5%

Age

25 or below 4 1.3%

26–35 95 30.9%

36–45 107 34.9%

46–55 79 25.7%

56 or above 22 7.2%

Education

High school or below 260 84.7%

University or college 46 15.0%

Graduate or above 1 0.3%

Marital status

Single 84 27.4%

Married 223 72.6%

Tenure (months) Minimum = 1, Maximum = 70, Average = 23.40

Note: n = 307

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conducted a multicollinearity test The results of this test indicate that the VIF values of variables raged from 1.51 to 1.97, which were less than

a threshold value of 10 (Kutner et al., 2005) Thus, multiculinearity between variables may not be a serious problem in our data

4.2 Results of CFA

This study performed a CFA According to Kline (2011), a good model fit is indicated when the Chi-square/degree of freedom is less than 3, comparative fit index (CFI) and goodness of fit index (GFI) are greater than 0.90, and root mean square of error of approximation (RMSEA) is less than 0.08 The results of CFA showed a good model fit between the sample data and the hypothesized model in this study (Chi-square/degree of freedom = 1032.642/356 = 2.90, CFI = 0.91, GFI = 0.91, and RMSEA = 0.07)

4.3 Results of reliability and validity

In this study, the variables’ reliability was tested using Cronbach’s alpha (Hair et al., 2010) As indicated in Table 4, the Cronbach’s alpha

of all variables were 0.80 (informal learning), 0.75 (incidental learning), 0.83 (formal learning), 0.80 (knowledge sharing), 0.80 (cognitive flex-ibility), and 0.81 (creativity) These values were all greater than the suggested cutoff value of 0.60 (Hair et al., 2010) Thus, the reliability of

Table 2

Measurement items

Constructs Items Sources

Workplace

learning Informal learning: My boss helps identify what to do to avoid

making the same mistake

Dang and Chou (2019)

When the company buys new equipment or

system, someone is asked to show us how to use

it

I often work with coworkers who show me the

ropes

Sometimes I have opportunity to work closely

with my coworkers

Incidental learning:

The company encourages coworkers to share

work experience with me

I often learn my job as consequences of doing

and keeping busy

The company supports professional

associations related to my work

We can get enough information to do a good

job

Formal learning:

There is support from the top management for

formal training

I have opportunity for cross training to learn

skills from others

Company provides support if I want further

formal education

Training funds are available for our formal

education if I need it

Knowledge

sharing I have contributed advanced knowledge to this company Yu et al (2010)

I usually actively share my advanced

knowledge with coworkers

I have contributed advanced knowledge to

other coworkers that resulted in the

development of new insights

I have tried to share my educational and

training expertise with other coworkers in

more effective ways

Cognitive

flexibility I explore creative ideas from broad and different perspectives Zhang and Bartol (2010)

I use free association to consider creative

alternatives

I come up with creative ideas by thinking in

many different directions

I make novel connections among seemingly

unrelated ideas

I think out of the box to explore unconventional

approaches

I switch perspectives flexibly to generate novel

ideas

Creativity This person often develops creative custom-

made service packages for clients Gong et al (2009)

This person often uses creativity to develop

new clients through different means and

channels

This person often uses creativity to increase

service forces in different ways

Table 3

Descriptive statistics and Pearson’s correlations

Variables Mean SD 1 2 3 4 5 6 7 8 9

1 Workplace learning 3.43 0.56 1

2 Knowledge sharing 3.30 0.64 50** 1

3 Cognitive flexibility 3.35 0.60 54** 55** 1

4 Creativity 3.20 0.68 57** 53** 58** 1

5 Gender – – 27** -.05 12** 08 1

6 Age – – 15** -.10 -.04 -.04 -.13** 1

7 Education – – 10 01 06 11** 06 -.13** 1

8 Marital status – – -.03 04 04 19** 06 13** -.18** 1

9 Tenure – – -.01 -.01 11** 05 -.16** 30** -.01 13** 1

Note: n = 307, **p < 0.01

Table 4

Results of measurement model

Constructs Items Factor

loadings CR AVE Cronbach’s α Informal learning (IFL) IFL1 0.85*** 0.81 0.52 0.80

IFL2 0.72***

IFL3 0.74***

IFL4 0.55***

Incidental learning (INL) INL1 INL2 0.72*** 0.73*** 0.80 0.51 0.75

INL3 0.60***

INL4 0.79***

Formal learning (FOL) FOL1 0.77*** 0.83 0.55 0.83

FOL2 0.72***

FOL3 0.77***

FOL4 0.69***

Knowledge sharing (KS) KS1 KS2 0.68*** 0.67*** 0.82 0.53 0.80

KS3 0.73***

KS4 0.83***

Cognitive flexibility (CF) CF1 CF2 0.70*** 0.73*** 0.86 0.51 0.80

CF3 0.66***

CF4 0.70***

CF5 0.69***

CF6 0.81***

Creativity (CR) CR1 0.76*** 0.81 0.59 0.81

CR2 0.78***

CR3 0.78***

Note: n = 307, ***p < 0.001

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all variables was acceptable

Following Hair et al (2010) and Kline (2011), convergent validity

was tested using composite reliability (CR) and average variance

extracted (AVE) Accordingly, CR values must be greater than 0.70, and

AVE values must be above 0.50 The results in Table 4 indicate that all

AVE and CR values met the requirements Thus, the convergent validity

of all variables was satisfactory

To test the discriminant validity, this study followed Hair et al.’s

(2010) method and conducted a series of CFA to compare the

hypoth-esized model with different models Mathieu and Farh (1991) suggested

that construct with multi-dimensions can be operated as averaging

scores of items into their corresponding dimensions, which can be

treated as indicators of their corresponding construct This study

aver-aged scores of items of each dimension of workplace learning and

treated these dimensions (i.e., informal learning, formal leaning, and

incidental learning) as indicators for workplace learning Thus, the

hy-pothesized model was composed of four constructs: workplace learning,

knowledge sharing, cognitive flexibility, and creativity Results of

models’ comparison in Table 5 indicate that only the hypothesized

model shows a good model fit Thus, discriminant validity of the

vari-ables was satisfactory in this study

4.4 Results of common method bias

To avoid common method bias that may occur when using survey

questionnaire to collect data, each questionnaire was completed from

two sources (frontline managers and their supervisors) Furthermore,

the sample procedure was conducted in three stages This study also

followed Podsakoff et al (2003) to conduct a Harman’s single-factor

test The results of unrotated solution showed 6 factors with 68.32%

of variance, and the first factor accounted for only 28.02% of variance

Furthermore, the results of the single-factor model of CFA showed an

extremely poor model fit (Chi-square/degree of freedom =

1703.203/275 = 6.19, CFI = 0.64, GFI = 0.69, and RMSEA = 0.13)

Thus, common method bias may not be serious in the study’s sample

data

4.5 Results of hypotheses testing

This study adopted SEM-AMOS to test the hypotheses The results in

Fig 2 show that among the control variables, only education (β = 0.076,

p < 0.05) and tenure (β = 0.173, p < 0.001) were significantly and

positively related to creativity Thus, the frontline managers who have

high level of education and long tenure would have more creativity,

because they have more knowledge and experiences in their jobs

The results in Fig 2 show that workplace learning was positively

related to frontline managers’ creativity (β = 0.290, p < 0.001) Thus,

H1 was supported

Furthermore, results show that workplace learning was positively

related to knowledge sharing (β = 0.501, p < 0.001), which in turn was positively related to creativity (β = 0.263, p < 0.001) The results of

bootstrap analysis with 1000 samples and 95% confidence interval (Hayes, 2017) also showed that the indirect effect of workplace learning

on creativity through knowledge sharing was statistically significant (β

=0.132, p < 0.001; Table 6) Thus, H2 was supported That is, knowl-edge sharing mediated the relationship between workplace learning and creativity

Fig 2 also shows that workplace learning was positively related to

cognitive flexibility (β = 0.506, p < 0.001), which in turn was positively related to creativity (β = 0.231, p < 0.001) The results of bootstrap

analysis showed that the indirect effect of workplace learning on crea-tivity through cognitive flexibility was stistically significant (β = 0.117,

p < 0.001; Table 6) Thus, H3 was supported That is, cognitive flexi-bility mediated the link between workplace learning and creativity

In addition, as indicated in Fig 2, knowledge sharing was positively

related to cognitive flexibility (β = 0.295, p < 0.001), which in turn was positively related to creativity (β = 0.231, p < 0.001) The results of

bootstrap analysis showed that the indirect effect of knowledge sharing

on creativity through cognitive flexibility was stistically significant (β =

0.068, p < 0.001; Table 6) Thus, H4 was supported That is, cognitive flexibility mediated the link between knowledge sharing and creativity

Fig 2 also shows the results of R2 for knowledge sharing (R2 = 0.251), cognitive flexibility (R2 =0.493), and creativity (R2 =0.474)

5 Discussion, implications, and future research

5.1 Discussion of findings

This study aims at investigating the relationship between workplace learning and frontline managers’ creativity in the hospitality industry, with the mediating roles of knowledge sharing and cognitive flexibility The findings provide evidence to support hypotheses in the research model

5.1.1 The link between workplace learning and frontline managers’ creativity

The current study found that workplace learning had a positive direct influence on frontline managers’ creativity This finding is consistent with the viewpoints of Mumford and Todd (2020) and Wang (2018) These authors suggested that learning activities in the workplace

Table 5

Results of model comparison analysis

Constructs/model χ2 df △χ2 χ2/df GFI CFI RMSEA

Thresholds < 3 >0.90 >0.90 <0.08 Hypothesized model 1032.642 356 2.90 0.91 0.91 0.07 Three-factor model 581.608 101 478.97*** 5.76 0.82 0.80 0.13 Three-factor model 539.130 101 493.51*** 5.34 0.82 0.83 0.12 Three-factor model 625.895 101 406.75*** 6.21 0.80 0.78 0.13 Two-factor model 696.882 103 335.76*** 6.77 0.68 0.75 0.14 Two-factor model 658.178 103 374.65*** 6.39 0.79 0.77 0.13 Two-factor model 736.256 103 296.39*** 7.15 0.77 0.73 0.14 One-factor model 764.773 104 267.87*** 7.35 0.76 0.72 0.14

Note: n = 307, **p < 0.01, GFI = goodness-of-fit index, CFI = comparative fit index, RMSEA = root-mean-square error of approximation

One-factor model: combine all constructs

Two-factor model: combine workplace learning and knowledge sharing, cognitive flexibility and creativity

Two-factor model: combine workplace learning and cognitive flexibility, knowledge sharing and flexibility

Two-factor model: combine workplace learning and creativity, knowledge sharing and cognitive flexibility

Three-factor model: combine workplace learning and knowledge sharing

Three-factor model: combine knowledge sharing and cognitive flexibility

Three-factor model: combine cognitive flexibility and creativity

Hypothesized model: include workplace learning, knowledge sharing, cognitive flexibility, and creativity

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provide new and useful knowledge and skills for individuals in

completing their tasks and enhancing their creative behavior in

orga-nizations As indicated in this study and prior literature (Mumford &

Todd, 2020; Wang, 2018), the work of frontline managers is complex

and requires a high level of creativity because they are responsible for

not only training and developing frontline employees but also the

ser-vice quality of a hospitality company Creativity helps frontline

man-agers improve service quality, secure the accomplishment of frontline

employees’ job, and enhance competitive advantage of a hospitality

company (Romero & Tejada, 2020) The finding of this study implies

that through formal training programs and informal interactions with

coworkers in the workplace, frontline managers can obtain new

infor-mation and useful knowledge and skills, providing basis for frontline

managers to engage in generating novel and useful ideas (Rowden,

2002) This finding underlines the importance of workplace learning in

enhancing frontline managers’ creativity in the context of the hospitality

industry

5.1.2 Role of knowledge sharing

The study also found that knowledge sharing played a mediating

mechanism in the relationship between workplace learning and

front-line managers’ creativity This finding is in front-line with the results of Harel

et al (2020) and Ritala et al (2015), who suggested that sharing

knowledge in the workplace plays an important role in enhancing

in-dividuals’ creative behavior One of the reasons is that knowledge

sharing provides rich information and knowledge that increase an

in-dividual’s ability to engage in new idea generation behavior Knowledge

sharing often occurs intentionally or unintentionally in the workplace

because individuals automatically participate in social interactions in

the working environment (Carmeli et al., 2013) The finding suggests that when frontline managers obtain new knowledge and skills from learning activities, they tend to share what they have learned to other coworkers when they participate in social interactions and discussion in the workplace (Lee, Malik, et al., 2020) This is because sharing knowledge helps frontline managers ensure the transfer of learned knowledge to frontline employees and the improvement of service quality in a hospitality company (De Clercq & Pereira, 2020) Knowl-edge sharing activities also enable frontline mangers to obtain rich in-formation and useful ideas from coworkers, enhancing their creative behavior (Chen & Cheng, 2012) Thus, in the context of the hospitality industry, workplace learning positively influences knowledge sharing which, in turn, positively affects frontline managers’ creativity

5.1.3 Role of cognitive flexibility

Cognitive flexibility was found to have a mediating effect in the link between workplace learning and frontline managers’ creativity In addition, it also appeared to have a mediating effect in the link between knowledge sharing and frontline managers’ creativity These findings are consistent with the works of Dajani and Uddin (2015) and Ou et al (2018), who argued that cognitive flexibility is a learned process that requires a high level of information sharing and knowledge acquisition, and it needs to be educated and nurtured with great time and efforts This study’s findings indicate that deep mental processes increase frontline managers’ ability to gain new and useful knowledge from learning and sharing activities in the workplace Through the deep cognitive processes, frontline managers can be flexible to deal with different perspectives and concepts (Kim & Yun, 2015) Frontline managers also flexibly come up with new and useful ideas when they obtain advanced knowledge through deep mental processes (Yeh et al.,

2012) In other words, workplace learning and knowledge sharing work

as two parallel ways that provide inputs and trigger deep mental pro-cesses (Harel et al., 2020; Mumford & Todd, 2020) Consequently, cognitive flexible processes make frontline managers more flexible in dealing with different alternatives to come up with new and novel ideas (Ou et al., 2018) That is, cognitive flexibility can be viewed as a transfer process that converts information and knowledge obtained from learning and sharing activities into creative behavior Thus, the findings further emphasize the important role of cognitive flexibility in trans-forming knowledge and experiences from learning and sharing activities into creativity in the context of the hospitality industry

Fig 2 Results of hypothesis testing

Note: n = 307, ***p < 0.001, *p < 0.05

Table 6

Results of bootstrap analysis

Indirect Path Standardized

estimate Lower Upper p- value Workplace learning→knowledge

sharing→creativity 0.132*** 0.097 0.228 0.000

Workplace learning→cognitive

flexibility→creativity 0.117*** 0.075 0.220 0.000

Knowledege sharing→cognitive

flexibility→creativity 0.068*** 0.038 0.117 0.000

Note: Bootstrap analysis with 1000 samples and 95% confidence interval, ***p

<0.001

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5.2 Implications

5.2.1 Theoretical implications

This study contributes to extant literature in several ways In this

study, SCT (Bandura, 1986; Miller & Dollard, 1941) is used to explain to

direct relationship between workplace learning and frontline managers’

creativity It is argued that workplace learning is a mental process that

helps frontline managers understand and obtain knowledge On the

basis of information and knowledge received from workplace learning,

frontline managers become more creative because they have rich

knowledge base to engage in new idea generation Thus, this study

ex-tends SCT (Bandura, 1986; Miller & Dollard, 1941) and contributes to

the current literature by investigating the issue of frontline managers’

creativity and clarifying the impact of workplace learning on frontline

managers’ creativity in the hospitality industry Its findings therefore

provide implications for future researchers who may be interested in

examining the role of workplace learning in enhancing creative behavior

in the hospitality industry

In addition, this study adopts SIT to clarify the mediating mechanism

of knowledge sharing in the link between workplace learning and

frontline managers’ creativity Accordingly, social interaction is a

necessary part of human life Through social interaction in working and

social environments, individuals simultaneously engage in learning and

sharing activities (Bales, 2000) Thus, SIT can be used to infer that

workplace learning and knowledge sharing are social interaction which

occurs in the working environment This social interaction helps

front-line managers obtain and share information and knowledge with their

coworkers, which help increase their ability to engage in creative

behavior Therefore, this study extends SIT and contributes to the extant

literature by providing empirical evidence on the mediating mechanism

of knowledge sharing in the relationship between workplace learning

and frontline managers’ creativity The study will benefit future

re-searchers who are interested in studying the role of knowledge sharing

in improving creative behavior in the hospitality industry

Furthermore, CFT suggests that deep mental process helps

in-dividuals acquire and transfer advanced knowledge into problem

solv-ing and new idea development (Spiro et al., 1987, 1988) By applying

CFT, this study suggests that workplace learning and knowledge sharing

provide inputs to trigger deep mental processes, which increases

front-line managers’ ability to gain new and useful knowledge from learning

and sharing activities in the workplace Through the deep cognitive

processes, frontline managers can be flexible to deal with different

perspectives and concepts (Kim & Yun, 2015) Frontline managers also

flexibly come up with new and useful ideas when they obtain advanced

knowledge through deep mental processes (Yeh et al., 2012) Thus, this

study extends CFT and contributes to the existing literature by shedding

a new light on the mediating mechanism of cognitive flexibility The

study is therefore helpful for future hospitality research that determines

the role of cognitive flexibility in explaining how workplace learning

and knowledge sharing affect managers’ creative behavior

5.2.2 Practical implications

The present study provides important implications for enhancing

frontline managers’ creativity in the hospitality industry Creativity

serves as an important source of service innovation and competitive

advantage for hospitality firms (Kitsios & Grigoroudis, 2020) Many

firms have therefore sought to encourage creativity in the workplace

(Chien et al., 2021), especially among frontline managers who are

responsible for increasing employees’ job performance, dealing with

customer demands, and improving service quality First, the findings

suggest that workplace learning triggers and facilitates frontline

man-agers’ creativity; hence, workplace learning should be effectively

designed and implemented Specifically, hospitality companies should

plan formal training courses and invite professional experts to teach new

knowledge, skills, and experiences for frontline managers Informal

learning activities should be also implemented in the workplace to

motivate social interactions among frontline managers and their co-workers For example, work rotations, seminars, meetings, and discus-sions should be encouraged in the workplace These formal trainings and informal social interactions collectively will provide frontline managers with new knowledge and experiences to engage in creative behavior Second, knowledge sharing is also an important source of frontline managers’ creativity Given the importance of knowledge in an orga-nization, some individuals may hide their tacit knowledge and keep it as private resources (Chen & Cheng, 2012) Thus, hospitality companies should plan and implement strategies to encourage frontline managers

to share explicit and tacit knowledge to other coworkers For example, since rewards were found to have an important role in reaching extra-task performance behaviors (Chiang & Birtch, 2008), hospitality companies may build a compensation system that provides attractive bonus and rewards for frontline managers who are willing to share knowledge to help other coworkers Rewards and compensations can be monetary (e.g., tips) and non-monetary (e.g., training, recognition, time-off)

Third, cognitive flexibility plays an important role in transferring knowledge from learning and sharing activities into advanced and useful knowledge that provides basis for creativity Frontline managers should make every effort to build and develop their cognitive flexibility In this regard, they should pro-actively initiate and engage in workplace learning and knowledge sharing activities, which appeared be motiva-tors of cognitive flexibility in this study Furthermore, frontline man-agers should interact with co-workers from different departments and train themselves to evaluate and solve problems from different per-spectives, which may help to increase cognitive flexibility Hospitality companies should also support frontline mangers in the development of their cognitive flexibility For example, it would be beneficial to orga-nize regular training and learning programs focusing on sharing knowledge between different departments Furthermore, focus groups that require frontline managers from different departments to solve a real-world problem can help to increase these managers’ ability to think differently and do their tasks flexibly

In short, hospitality organizations and leaders, including those in emerging markets like Vietnam, should consider frontline managers who have high cognitive flexibility and creativity as key resources They should therefore design and follow appropriate selection procedures to successfully recruit applicants who are creative and cognitively flexible For example, cognitive flexibility and creativity should be clearly indi-cated as key selection criteria in job descriptions for the position of frontline managers Hospitality firms should make every effort to pro-vide frontline managers with constant support, for example by investing money and effort to optimize their workplace learning, training pro-grams, human resource management and support systems

5.3 Limitations and future research

Few limitations are acknowledged in this study and should be overcome in future research First, cross-sectional data has its own limitation in testing the causal relationship among variables Although the sample data were collected in three stages, common method bias may not be completely avoided Given this limitation, future research should opt for a longitudinal design to better understand the causal relationship among the variables in this study Second, one of the dis-advantages of survey data is its capability to reflect causal relationships because several exogenous and situational variables cannot be controlled effectively Thus, future research should use other methods, such as experiments, to validate the relationships among the variables in this study Third, this study only collected data from hotel companies, which may limit the generalizability of its results Future research should collect data from other sectors in the hospitality industry (e.g., restaurants, pubs, bars) to determine the issue of creativity Further-more, although Vietnam is an emerging market in the Asia-Pacific re-gion, findings from a single country may limit their generalizability

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