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Workforce insufficiencies can impair firms' competitiveness in the hospitality industry. The problem of finding suitably trained employees has been aggravated by changes in consumer preferences, and the development of advanced technologies has led to the ‘smartization’ of upscale hotels. The consequent updating of business models means that decisive indicators of worker competence and employability are different from those applied previously. Thus, the aim of this study is to develop an indicator framework for assessing workforce employability with consideration of competence with artificial intelligence (AI) applications.

The initial indicators for the framework are obtained based on an intensive review of the relevant literature and roundtable meetings with academics and practitioners. The Delphi method is used to collect the data, and a hybrid fuzzy approach, which combines the modified Z-number and modified trapezoidal fuzzy number set techniques, is applied to quantify the information originating from the experts’ judgments. The interquartile range approach is applied to optimize the validity of the indicators.

The assessment framework is applied to evaluate workforce employability at an upscale hotel from the perspective of hotel executives. The capability of the workforce for the adoption of advanced technologies, including familiarity with AI, are considered.

The contributions of this research involve the identification of an updated list of determinants for the evaluation of workforce employability for hotels in today’s world, highlighting the value of AI applications to help ameliorate labor shortage problems. The results should benefit practitioners, allowing them to improve the efficiency of their operations, services and management practices, leading to sustainability and competitiveness in the upscale hotel industry.

Many multinational corporations that originate from emerging economies (emerging market multinational corporations (EMNCs)) opt for acquiring a target firm in a developed market to expediently upgrade their strategic capabilities. To successfully achieve their strategic goals in the developed markets, EMNCs may use market actions and nonmarket actions to mitigate the potential risk derived from the national political differences between their home emerging economy and host developed economy. This paper aims to extend the legitimacy-based view of political risk to study the influence of political animosity – defined as misalignment of the host-home countries’ national interests – on the EMNCs’ market and nonmarket strategy in a developed market.

In this paper, we examine all EMNCs that made cross-border acquisitions of the USA targets from 2005 to 2011. The final sample consists of 252 acquisitions originating from 25 emerging markets. This paper used Tobit regression analysis to test the direct and moderating hypotheses.

Facing a high level of political animosity between their home country and the host developed economy, EMNCs use a market strategy by acquiring less ownership stake in the developed market, as well as engage in a nonmarket strategy by increasing lobbying activities. In addition, because of the heightened legitimacy concerns of developed market shareholders, cross-listed EMNCs have a greater tendency than non-cross-listed EMNCs to improve their legitimacy through their market and nonmarket strategy.

The current paper sheds light on EMNCs’ international strategy in developed markets by examining both market and nonmarket actions. EMNCs are shown to be strongly motivated to engage in acquisitions in developed markets so they can acquire invaluable strategic resources, such as brands and distribution channels, to compete with the developed market multinationals. A sophisticated ownership strategy and corporate political activities are invaluable for EMNCs to catch up with developed market multinationals.

This paper aims to investigate “corporate governance” of the English East India Company (EIC) in the late 17th century through a case study of the Tonkin factory (1672–1697).

The paper draws upon British primary materials relating to the Tonkin factory to examine and analyze the EIC’s style of management in Tonkin (Vietnam) and Bantam (Java). Qualitative and comparative methods are applied to the analysis of reports, records and letters written by EIC staff.

The paper finds that the EIC faced principal-agent problems as it had difficulties administering its distant agents and subsidiaries in the 17th century. London was strategically weakened, both by the limiting power of regional headquarters and by its use of experienced factors. Before 1682, London failed to temper the Bantam Council’s influence, and there were serious internal conflicts and power struggles between English Tonkin employees seeking to improve their positions. After 1686, London successfully forced Madras to adopt a noninterventionist stance in Tonkin’s business, but it faced the problem of “adverse selection.”

This paper provides evidence from the Tonkin factory (1672–1697) to show the EIC’s governance in the perspective of the agency theory.

Successful device development brings substantial revenues to medical device manufacturing industries. This paper aims to evaluate factors contributing to the success of medical device development (MDD) using grey DEMATEL (decision-making trial and evaluation laboratory) methodology through an empirical case study.

The factors are identified through literature review and industry experts’ opinions. Grey-based DEMATEL methodology is used to establish the cause-effect relationship among the factors and develop a structured model. Most significant factors contributing to the success of MDD are identified. An empirical case study of an MDD and manufacturing organisation is presented to demonstrate the use of the grey DEMATEL method. Sensitivity analysis is carried out to check robustness of results.

The results of applying the grey DEMATEL methodology to evaluate success factors of MDD show that availability of experts and their experience (SF4) is the most prominent cause factor, and active involvement of stakeholders during all stages of MDD (SF3) and complete elicitation of end-user requirements (SF1) are the most prominent effect factors for successful MDD. A sensitivity analysis confirms the reliability of the initial solution.

The findings will greatly help medical device manufacturers to understand the success factors and develop strategies to conduct successful MDD processes.

In the past, few success factors to MDD have been identified by some researchers, but complex inter-relationships among factors are not analysed. Finding direct and indirect effects of these factors on the success of MDD can be a good future research proposition.

This study aims to examine the enablers of productivity of enterprise-level Agile development process using modified total interpretative structural modeling (TISM). The two main objectives of the current study are to determine the variables influencing enterprise-level agile development productivity and to develop modified TISM for the corresponding components.

To identify enablers of the productivity of enterprise-level agile software development process a literature review and opinions of domain experts were collected. A hierarchical relationship among variables that show direct and indirect influence is created using the modified TISM (M-TISM) technique with Cross Impact Matrix-Multiplication Applied to Classification analysis. This study examined and analyzed the relationships between the determinants within the enterprise using a M-TISM technique.

With the literature review, the study could identify ten enabling factors of the productivity of Agile development process at the enterprise level. Results depict that program increment (PI) planning and scalable backlog management, continuous integration and continuous delivery (CI/CD), agile release trains (ART), agile work culture, delivery excellence, lean and DevOps practices, value stream mapping (VMS), team skills and expertise, collaborative culture, agile coaching, customer engagement have an impact on the productivity of enterprise-level Agile development process. The results show that team collaboration, agile ways of working and customer engagement have a greater impact on productivity improvement for enterprise-level Agile development process.

The developed model is useful for organizations employing scaled Agile development processes in software development. This study provides a recommended listing of key enablers, that may enable productivity improvements in the Agile development process at the enterprise level. Strategists should focus on team collaboration and Agile project management. This study offers a modified TISM model to academicians to help them understand the effects of numerous variables on maintaining the productivity of an enterprise-level Agile. The identified characteristics and their hierarchical structure can help project managers during the execution of Agile projects at the enterprise level, more effectively, increasing their success and productivity.

The study addresses the gap in the literature by interpretative relationships between the identified enabling factors. The model validation is carried out by a panel of nine experts from several information technology organizations deploying Agile software development at the enterprise level. This unique method broadens the knowledge base in Agile software development at scale and provides project managers and practitioners with a practical foundation.

The purpose of this paper is to examine critical issues and challenges that are related to the application of technology to improve the management of police organizations.

First, the study reviews the background of the police service model, the development of police-related technology and the relationship between these technologies and police performance measures. Based on the analysis of managerial concepts, the study provides discussions about risks of technology and human factors, resource limitation, professional attitude and culture, privacy concerns, citizen video and social media, and public trust.

The study concludes with suggestions to examine police technology application from a broad perspective to address not only technology operational issues but also related organization, management, community and policy concerns.

Findings of this study contribute to the understanding of technology application, contribution and limitation in public management.

This study examines public budgeting experts' perception on the viability and adoptability of the proposed line-item veto. The study reveals that: (1) the line-item veto is not considered by the experts as the most favored budgetary reform idea from both measurements of viability and adoptability; (2) the experts believe that the line-item veto may not be adopted in the near future even though they agree it is a viable idea; and (3) there are no significant correlations between the experts' views and their personal characteristics.

This chapter explores the phenomenon of organizational resilience. A comprehensive model was advanced and tested while utilizing a quantitative study conducted in the education system in Israel with 98 schools, involving 1,132 educators. Statistical analysis based on structural equation modeling revealed significant relationships between three antecedents (social capital, team empowerment, goal interdependence) and organizational resilience. In addition, a positive significant relationship was found between organizational resilience and organizational functioning in crisis. Organizational resilience was found to be a mediator between three of the antecedents (social capital, team empowerment, goal interdependence) and organizational functioning in crisis. Furthermore, organizational functioning in crisis was found to mediate the relationship between organizational resilience and organizational innovation. Implications for policymakers, managers, and change leaders in organizations are discussed.

This paper aims to report the development of the multiparty collaborative leadership scale (MCLS) that assesses four dimensions of collaborative leadership that have been defined in the literature regarding the functions of collaborative leadership in intra- and interorganizational settings.

The authors have tested the validity and reliability of the MCLS in a sample of 110 managers and professionals who participated in five multiparty collaboration workshops, each lasting for two days. The authors used multilevel analyses to test the construct, discriminant and predictive validity of the MCLS.

The results generally supported the reliability and validity of the MCLS. The scale has good internal consistency and in terms of validation, the authors show that MCLS negatively predicts the conflictuality and positively predicts the collaborativeness of the leading party as well as trust in the multiparty system and its entitativity.

The MCLS can be used to extend literature on collaborative leadership and generate insights on the antecedents and consequences of effective collaborative leadership in multiparty systems.

Multiparty systems are set to deal with important societal challenges and mediators involved in multiparty issues are asked to settle important international disputes and conflicts. Understanding collaborative leadership in such systems and its role in establishing effective multiparty collaboration is key. The MCLS can be used as a research instrument and as a development tool toward realizing much-needed collaboration.

The authors present a first attempt to develop a short scale to assess collaborative leadership in complex systems in which participating stakeholders lack position power.

Extending the springboard perspective with the resource dependence theory, the authors posit that cross-border mergers and acquisitions (M&As) are a new channel for emerging economy firms (EEFs) to enhance their technology capabilities. This study aims to examine the impact of cross-border M&As initiated by EEFs on their technology augmentation vis-à-vis matched domestic M&A cases and investigate the factors influencing the difference in post-merger innovation capability.

This paper estimates the post-acquisition innovation capability of acquirers from emerging economies (EEs) that engage in cross-border M&As. To remove possible selection bias, the authors leverage a difference-in-difference-style approach in combination with a matched sample constructed by pairing each cross-border M&A case with a similar domestic deal. The data set contains 266 cross-border M&As and 266 matched domestic M&A deals between 2003 and 2011, whereby acquirers are based in 6 EEs and targets are in 36 countries consisting of both EEs and advanced economies (AEs).

The present empirical results show that cross-border M&As engaged by EEFs are an important engine for improving EEFs’ innovation capability through technology augmentation. The main empirical results are as follows. First, compared with matched domestic acquirers with similar characteristics, EE cross-border M&As have a positive effect on innovation capability. Second, the positive effect of the EEFs’ cross-border M&As relative to the matched domestic M&As on innovation capability is driven largely by cross-border M&As with targets in AEs. Third, the increase in post-M&A innovation capability of the EE cross-border acquirers comes mainly from deals where targets are based in countries with relatively superior human capital and innovation capability than those of the acquirers.

To the best of the authors’ knowledge, this study is the first systematic study of whether cross-border M&As serve as an effective channel of technology augmentation for EE acquirers compared to matched domestic acquirers with similar characteristics.