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The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM) clustering and Nelder–Mead (NM) simplex algorithm, called as RWFCM-NM, for generalized multisource Weber problem (MWP).

Although the RWFCM claims that there is no obligation to sequentially use different methods together, NM’s local search advantage is investigated and performance of the proposed hybrid algorithm for generalized MWP is tested on well-known research data sets.

Test results state the outstanding performance of new hybrid RWFCM and NM simplex algorithm in terms of cost minimization and CPU times.

Proposed approach achieves better results in continuous facility location problems.

The chapter examines a comprehensive review of cross-disciplinary literature in the domain of supply chain forecasting during research period 1991–2017, with the primary aim of exploring the growth of literature from operational to demand centric forecasting and decision making in service supply chain systems. A noted list of 15,000 articles from journals and search results are used from academic databases (viz. Science Direct, Web of Sciences). Out of various content analysis techniques (Seuring & Gold, 2012), latent sementic analysis (LSA) is used as a content analysis tool (Wei, Yang, & Lin, 2008; Kundu et al., 2015). The reason for adoption of LSA over existing bibliometric techniques is to use the combination of text analysis and mining method to formulate latent factors. LSA creates the scientific grounding to understand the trends. Using LSA, Understanding future research trends will assist researchers in the area of service supply chain forecasting. The study will be beneficial for practitioners of the strategic and operational aspects of service supply chain decision making. The chapter incorporates four sections. The first section describes the introduction to service supply chain management and research development in this domain. The second section describes usage of LSA for current study. The third section describes the finding and results. The fourth and final sections conclude the chapter with a brief discussion on research findings, its limitations, and the implications for future research. The outcomes of analysis presented in this chapter also provide opportunities for researchers/professionals to position their future service supply chain research and/or implementation strategies.

The purpose of this study is to explore patterns of importance ratings of managerial competencies in 22 countries in different regions around the globe, to guide specificity in assessing and developing managers in multiple geographies. Additionally, this study examined the utility of clustering countries based on shared culture, as defined by House et al. (2004), to determine whether such clustering aids in interpreting and acting on any differences identified.

The PROFILOR^® for Managers contains 135 behavioral items, grouped into 24 competency scales. The instrument was developed from a review of the management and psychology literatures, exhaustive analysis of a large database (Sevy et al., 1985), job analysis questionnaires and interviews of hundreds of managers representing many functional areas and most major industries.

Results suggest that clustering countries together for the purpose of providing prescriptive guidance for the development of individuals planning expatriate assignments does not clarify such guidance; in fact, it masks unique differences in competency priorities as measured on a country-by-country basis.

The participants for this study come from mid- to large-size organizations in 22 countries around the world. The organizations represented sought out management consulting services from a large, highly respected private-sector consultancy. As such, these findings are likely to be generalizable to managers from similar organizations. No attempt has been made to generalize these findings to entrepreneurial start-ups, small local organizations or organizations not inclined to seek Western-style management consulting services.

This study is one of the first to examine the effectiveness of the GLOBE clusters as they relate to managerial competencies in multicultural workforces.

This article constructs a distribution’s location model, from the perspective of a firm’s customers, suppliers, and employees, by applying a systematic quality function deployment (QFD) approach. The proposed approach aims to assist a distribution company’s location decision in selecting an optimal location that satisfies the overall location requirements. The QFD procedure began by collecting possible candidate location requirements, followed by conducting the first stage of a sampling survey to identify the secondary location requirements. These were then sorted into major categories of location requirements. Then, the location evaluating criteria were derived from the location requirements and a central relationship matrix was established to display the degree of relationship between each pair of location requirement and location evaluating criterion. Furthermore, the second stage of a sampling survey was conducted to collect data for computing the importance weighting for each category of location requirement. During transformation of the QFD, the importance degree and the normalized importance degree of each location criterion were computed, respectively. The normalized importance degree was, finally, used as the evaluating weight in a distribution company’s location model for the analysis of location evaluation. An empirical study regarding the location decision for a distribution center in Taiwan was provided to demonstrate the proposed approach.

Entrepreneurship, in many low-resilient economies, plays a critical role in overcoming external shocks. Thus, it is crucial in such situation that entrepreneurial firms can survive and even grow so that the whole economy can benefit from a higher level of resilience. The purpose of this study is to understand how entrepreneurial orientation (EO) brings about firms' performance through the moderating role of CEOs' self-transcendence values in the context of a low-resilient sanctioned economy.

This is a quantitative research that employs hierarchical regression analysis of a sample of 114 Iranian entrepreneurial firms composed of 62 knowledge-based and 52 creative firms.

The analysis revealed that in the low-resilient sanctioned economy, Iran, EO-performance link is moderated by the level of CEOs' self-transcendence value, that is, higher level of CEO self-transcendence leads to stronger impact of EO on performance. This moderation is not different in creative sector vs. knowledge-based sector of the economy.

This paper addresses a major gap in the traditional EO-performance relationship which is related to the role of CEO values. Also, the context of Iran's low level of economic resilience adds more novelty to this study, emphasizing on the role of CEO personal values of self-transcendence in times of crisis. The results could also be generalized in many economies now facing the COVID-19 pandemic crisis during which CEOs' self-transcendence values are vitally important in overcoming the difficulties of doing business in such situation.

The production planning problem with fine-grained information has hardly been considered in practice. The purpose of this study is to investigate the data-driven production planning problem when a manufacturer can observe historical demand data with high-dimensional mixed-frequency features, which provides fine-grained information.

In this study, a two-step data-driven optimization model is proposed to examine production planning with the exploitation of mixed-frequency demand data is proposed. First, an Unrestricted MIxed DAta Sampling approach is proposed, which imposes Group LASSO Penalty (GP-U-MIDAS). The use of high frequency of massive demand information is analytically justified to significantly improve the predictive ability without sacrificing goodness-of-fit. Then, integrated with the GP-U-MIDAS approach, the authors develop a multiperiod production planning model with a rolling cycle. The performance is evaluated by forecasting outcomes, production planning decisions, service levels and total cost.

Numerical results show that the key variables influencing market demand can be completely recognized through the GP-U-MIDAS approach; in particular, the selected accuracy of crucial features exceeds 92%. Furthermore, the proposed approach performs well regarding both in-sample fitting and out-of-sample forecasting throughout most of the horizons. Taking the total cost and service level obtained under the actual demand as the benchmark, the mean values of both the service level and total cost differences are reduced. The mean deviations of the service level and total cost are reduced to less than 2.4%. This indicates that when faced with fluctuating demand, the manufacturer can adopt the proposed model to effectively manage total costs and experience an enhanced service level.

Compared with previous studies, the authors develop a two-step data-driven optimization model by directly incorporating a potentially large number of features; the model can help manufacturers effectively identify the key features of market demand, improve the accuracy of demand estimations and make informed production decisions. Moreover, demand forecasting and optimal production decisions behave robustly with shifting demand and different cost structures, which can provide manufacturers an excellent method for solving production planning problems under demand uncertainty.

This study aims to examine the relationships between three dimensions – vision, hope/faith and altruistic love – of spiritual leadership and employees' creativity and to verify the mediating role of affective commitment in such relationships.

Data were collected from 462 South Korean employees in diverse industries through self-reported questionnaires, and hypotheses were tested using hierarchical multiple regression analysis.

The authors found that vision, hope/faith and altruistic love were positively related to employees' creativity, while their affective commitment mediated such relationships. The authors also verified that the multidimensional structure of spiritual leadership was valid in the context of South Korea.

The findings suggest that leaders need to understand the importance of vision, hope/faith and altruistic love toward employees in formulating employees' affective commitment and stimulating creativity. Thus, organizations need to establish and operate leadership training programs for promoting leaders' behaviors that are based on spirituality.

This study contributes to broadening the variety of spiritual leadership's outcomes by providing an initial evidence of how spiritual leadership is associated with employees' creativity. Extending the verification of multidimensional structure of spiritual leadership so that it can be applied in South Korea has also been considered.