Search results

This chapter presents a recent study which explored the impact of entrepreneurship education on South African tourism students' entrepreneurial intention, regarding starting a tourism-related business after graduation. The study used a structured questionnaire to collect data from randomly selected tourism students in a South African comprehensive University. Study findings show that entrepreneurship education has an influence on tourism students' entrepreneurial intentions and perceptions of desirability and feasibility. The study results moreover reveal that having entrepreneurial family background and entrepreneurship education played a role in achieving entrepreneurial attributes and desirability. The adoption of various reform programmes targeted at enhancing the graduate employability and/or self-employment, such as the inclusion of a new entrepreneurial track to the undergraduate curriculum, is one of the study's recommendations for the department of tourism studied. Students should be encouraged to apply for the entrepreneurship education track, which includes business training as well as customised coaching and mentorship sessions with accomplished businesspeople, as early as in their first academic year.

Social factors are an under‐researched but important aspect in the success of manufacturing cells. This paper sets out to investigate the impact and importance of various human factors within a socio‐technical system such as team‐based cellular manufacturing (TBCM).

A questionnaire survey was designed to provide information about human factors in TBCM. The survey was conducted at four medium‐to‐large size organisations in Australia and Switzerland where participants were required to be working within a TBCM environment and included managers, team leaders, and operators. A set of research questions and hypotheses was developed and tested.

It was found that human issues account for a significant proportion of problems within team‐based manufacturing cells. Of the eight human factors tested in this survey, communication, teamwork and training were ranked the most important, while reward/compensation was ranked the least important. Testing showed significant relationships between factors such as companies, positions, experience and team size; therefore most hypotheses were supported.

Traditionally, the research focus has been on the technical aspect of socio‐technical systems such as TBCM. This study offers practitioners and academics a better understanding of the human issues associated with this important form of manufacturing, therefore improving the likelihood of its success.

This paper demonstrates the need for research into the social side of TBCM, while providing an understanding of the important human factors associated with this system.

Facing uncertain demand and supply, customers and suppliers are encouraged to make their supply chain more flexible and adaptive to the environment. The primary objective of this paper is to gain an understanding of the issues surrounding flexibility and adaptability in supply chain management from an industrial practitioner.

A semi‐structured interview and follow up interviews were conducted with a logistics manager of a renowned international company.

The study supports that the aforementioned characteristics, flexibility and adaptability, are useful in practical supply chain applications. Some practical advice is also reported.

This paper bridges the gap between academic theoretical studies and the expectations from an industrial practitioner regarding flexibility and adaptability in supply chain management. A similar study could be extended to more industrial practitioners in order to collect more useful opinions from them.

This study aims to assess how undergraduates’ exposure to entrepreneurship education (EE) may increase their volitional desire and behavioral control to start-up a business.

The model establishes three different paths from EE to entrepreneurial intention (EI): attraction and passion through desire and confidence through control. These paths are assessed by partial least-squares structural equation modeling in a sample of 650 undergraduates from Poland, Turkey and Portugal.

The most effective way by which EE may increase EI is by promoting a favorable change in the attractiveness of the entrepreneurship career. Contrary to expectations based on the literature, the effects of EE on perceived behavioral control are weak and limited to aspects related to financial control.

EE programs should consider desire and control in different phases of training, with the following learning outcomes: explore prospective rewards of an attractive entrepreneurial career, develop self-efficacy regarding management competences and gain control by assuring skills to cope with failure.

To the best of the authors’ knowledge, this study is the first to establish a path from EE to EI through passion and desire. It is also the first to consider entrepreneurial passion as a positive anticipated emotion in the model of goal-directed behavior. The results allow to relate the different paths with different learning outcomes of EE programs.

This paper aims to clarify emerging aspects and trends of Six Sigma literature over 17 years, from 1992 to 2008.

The literature on Six Sigma from 417 referred journal articles in business and management disciplines, information systems and computer science, engineering, healthcare, etc. were systematically analyzed based on a scheme that consists of four distinct dimensions: publication year and journal, major themes, research type, and application sector (i.e. manufacturing vs service).

A number of key findings emerged: Six Sigma research is growing rapidly, covering various disciplines and domains with a great focus on Six Sigma tools and techniques; empirical research is dominant with more emphasis on case study approach; and the growing gap between manufacturing‐ and service‐focused articles implies the return of Six Sigma to manufacturing as its initial base. Although a large volume of literature is available on Six Sigma, the topic is still under development and offers potential opportunities for further research and applications.

The paper provides both academics and practitioners with a useful framework for pursuing rigorous Six Sigma research through explaining the chronological growth of Six Sigma, challenging themes of Six Sigma research, dominating research types and application areas in Six Sigma, and the major sources of Six Sigma information.

This paper aims to focus on systematically analysing and synthesising the extant research published on supply chain integration (SCI) area, given the significance of SCI research area. More specifically, the authors aim to answer three questions: “Q1 – What are the factors (e.g. both driving and inhibiting) that influence SCI?”, “Q2 – What are the key developments (e.g. both in research and industry) in SCI area?” and “Q3 – What are the approaches employed/discussed to integrate supply chains?”. Over the past decade, SCI has gained increasing attention in the supply chain management (SCM) context, both from the practitioners’ perspective and as a research area. In realising the global transformations and competitive business environment, a number of organisations are collaborating with their supply chain (SC) partners, to conduct seamless SC operations.

A systematic and structured literature review is carried out to observe and understand the past trends and extant patterns/themes in the SCI research area, evaluate contributions and summarise knowledge, thereby identifying limitations, implications and potential directions of further research. Thus, to trace the implementation of SCI practices, a profiling approach is used to analyse 293 articles (published in English-speaking peer-reviewed journals between 2000 and 2013) extracted from the Scopus database. The Systematic Review Approach proposed by Tranfield et al. (2003) was followed to analyse and synthesise the extant literature on SCI area.

The analysis presented in this paper has identified relevant SCI research studies that have contributed to the development and accumulation of intellectual wealth to the SCI and SCM area. Each of the 293 papers was examined for achieving the aim and objectives of the research, the method of data collection, the data analysis method and quality measures. While some of the papers provided information on all of these categories, most of them failed to provide all the information, especially for Q2 and Q3 that resulted in 23 and 21 papers, respectively.

This study would have benefited from the analysis of further journals; however, the analysis of 293 articles from leading journals in the field of operations and SCM was deemed sufficient in scope. Moreover, this research has implications for researchers, journal editors, practitioners, universities and research institutions. It is likely to form the basis and motivation for profiling other database resources and specific operations and SCM-type journals in this area.

This systematic literature review highlights a taxonomy of contextual factors driving and inhibiting SCI for researchers and SC practitioners to refer to while researching or implementing SCI. It also exemplifies some areas for future research, along with the need for researchers to focus on developing more practical techniques for implementing SCI and improving organisational performance.

The prime value and uniqueness of this paper lies in analysing and compiling the existing published material in relation to Q1, Q2 and Q3, including examining other variables (such as yearly publications, geographic location of each publication, type of publication, type of research methods used), which lacks in the recent published five SCI literature review-based articles (by Kim, 2013; Leuschner et al., 2013; Alfalla-Luque et al., 2013; Parente et al., 2008; Fabbe-Costes and Jahre, 2007). This has been achieved by extracting and synthesising existing publications using “Supply Chain Integration” keyword. This paper provides a critique of the conceptual and empirical works in SCI discipline and offers research agendas that can stimulate future researchers to carefully explore the topic.

This article reviews the intercultural adaptability (IA) development models for students in South Korea and China in response to the growing internationalisation of higher education. The article provides significant implications for Confucian heritage culture (CHC) countries and others that wish to enhance in higher education.

This scoping review systematically investigates the literature on different IA development strategies for students in higher education across these two Asian countries.

South Korea has promoted the self-growth model reflected in internationalised programmes such as English as a Medium of Instruction (EMI), an international learning environment with an increasing number of international students and student exchange programmes. Through these initiatives, domestic students’ identity and intercultural learning dynamics are enriched in an intercultural learning environment. Meanwhile, China has adopted the “Outward-oriented” higher education internationalisation model to attract international students to study in Chinese universities and entice Chinese returnees through its International Talent Training Programmes. In this strategy, international students are exposed to Chinese language and cultural knowledge development programmes, and Chinese students are motivated to learn the English language and cultures through interactions with their international peers.

Student IA development models in CHC countries remain underexplored. This article responds to the need of higher education institutions in Asian countries that wish to access and learn from effective IA models from other CHC countries. The study makes a valuable contribution by putting forward significant recommendations for developing students’ IA in CHC countries.

As we move up in the supply chain (SC) from retailer to supplier, amplification in the fluctuation of order increased. To minimize this amplification, understanding of key decision variables which affects the SC is essential. So, in the present work the authors developed a novel approach to examine the structural dependencies among variables responsible for perfect order fulfillment (POF).

Interpretive structural modeling approach has been used to model the structural relationship among the key SC variables. Further, to study the driver-dependence dynamics among variables MICMAC analysis has been used. In the second phase, the influence of driver variables on the POF is investigated by using fuzzy logic.

From the results, it is observed that the variables’ delivery time, number of echelons, data accuracy and information sharing have high driving power which may help the organizations to meet challenges offered by POF. The results showed that for POF is said to be at optimum level when the number of echelons should be low and data accuracy should be high, and information sharing among all partners should also be very high.

Research on SC is classified into three categories, i.e. operational, design and strategic. In the present study authors discussed strategic variables responsible for POF which is the main limitation of the study. The work can be extended by including operational and design variables.

POF in SC network is affected by various variables. The in-depth understanding of contextual association among the variables helps the managers to improve the efficiency of the SC and reduce the bullwhip effect across the downstream SC network.

The study presents a hybrid approach to analyze the key POF dimensions, i.e. forecasting, number of echelons, information sharing, cycle time and delivery time, critical to POF in downstream SC network by developing various case settings.

The systems approach is an exemplar of design science research (DSR), whereby specific designs yield generic knowledge. DSR is increasingly being adopted in logistics and operations management research, but many point to neglect of the human aspects of solutions developed. The authors argue that it is possible to look back at the history of the systems movement to seek precedent for ‘dealing’ with the social components, providing a methodologically pluralistic ‘research design’ framework. Thereby, systems approaches are foundational to providing a design-based ‘science’ to progressing the logistics and supply chain management field, dealing with contemporary topics such as resilience.

The authors undertake a discursive assessment of relevant streams of engineering, social science and systems research, with a conceptual development of how the latter influences supply chain design approaches.

Building on a phenomenological framework, the authors create a generic design science research design (DSRD) that enables researchers to choose and integrate the right tools and methods to address simple, complicated and complex problems, dealing with technological, process and social problems.

The DSRD provides a framework by which to exploit a range of methodological stances to problem solving, including quantitative modelling perspectives and ‘soft’ systems social science approaches. Four substantive gaps are identified for future research – establishing the root cause domain of the problem, how to deal with the hierarchy of systems within systems, establishing appropriate criteria for the solution design and how best to deal with chaotic and disordered systems.

The authors argue that the systems approaches offer methodological pluralism by which a generic DSRD may be applied to enhance supply chain design. The authors show the relevance of the DSRD to supply chain design problems including in reducing supply chain dynamics and enhance resilience. In doing so, the study points towards an integrated perspective and future research agenda for designing resilient supply chains.

Defining co-opted directors as those who join a company’s board after an incumbent chief executive officer assumes office, this study aims to investigate the influence of co-opted boards on bidder performance.

This study applies ordinary least squares regression analyses to a sample of 8,939 acquisition observations announced by US firms spanning the 1999–2019 period. Event study methodology was employed to capture the market response to acquisition announcements. Propensity score matching technique, a two-stage least squares instrumental variable approach and model selection through the Lasso method were performed for robustness and endogeneity correction purposes.

The results depict a significant negative relationship between a co-opted board and return to acquirers, suggesting that managers under co-opted boards make value-destructing Mergers and Acquisitions deals. We also show that the relationship between board co-option and acquisition performance is positively moderated by institutional ownership while being negatively moderated by an entrenched board. Our additional tests reveal that board co-option reduces acquisition efficiency and leads to worse financial performance.

This study offers important implications for regulators and policymakers by highlighting how poor monitoring of the board of directors can influence announcement returns.

To the best of the authors’ knowledge, this paper appears to be the first investigation that makes a link between board co-option and various dimensions of acquisition decision.