Search results

This chapter develops a set of two-step identification methods for social interactions models with unknown networks, and discusses how the proposed methods are connected to the identification methods for models with known networks. The first step uses linear regression to identify the reduced forms. The second step decomposes the reduced forms to identify the primitive parameters. The proposed methods use panel data to identify networks. Two cases are considered: the sample exogenous vectors span Rn (long panels), and the sample exogenous vectors span a proper subspace of Rⁿ (short panels). For the short panel case, in order to solve the sample covariance matrices’ non-invertibility problem, this chapter proposes to represent the sample vectors with respect to a basis of a lower-dimensional space so that we have fewer regression coefficients in the first step. This allows us to identify some reduced form submatrices, which provide equations for identifying the primitive parameters.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The first aim of the chapter is to offer a characterization of back-reshoring as a possible step of the firm’s nonlinear internationalization process. The second aim is to review the empirical literature on back-reshoring and to complement it with the findings of an extensive data collection.

In this chapter we adopted an explorative approach building on both theoretical and empirical literature from the fields of international business and international operations Management. We also collected secondary data on back-reshoring decisions in order to define the magnitude of the investigated phenomenon and to offer a primary characterization.

Our findings confirm that, though it cannot be considered a generalized trend, back-reshoring is a very topical issue for international business scholars. It represents an autonomous phenomenon consistent with the idea of nonlinear internationalization process.

The chapter is based on cross-sectional data. Longitudinal research is required in order to address the proposed research questions and help understanding “how much” and what kind of manufacturing will be housed in western countries in the near future.

This is the first attempt to conceptualize back-reshoring as a possible step of the firms’ internationalization process. It is also the first chapter that summarizes and discusses the literature and empirical evidence on back-reshoring emerging from a wide range of countries.

While airports traditionally have been seen as classic examples of public enterprises, the government’s role in airport management has been changing throughout the world. This study explores airport governance models with a focus on stakeholder issues. Relatively little is known empirically about how public, private, or public–private partnership (PPP) provision of airport services affects different stakeholders. The main aim of this study is to develop a better understanding of the impact of airport governance forms on stakeholders. For this purpose, a theoretical background focused on identifying airport stakeholders and their conflicting interests is followed by a qualitative content analysis using past studies on airport management. The results suggest that a balanced approach is required to deal with stakeholder interests detached from their governance structures.

Purpose – This chapter aims to construct a scientific microworld to explain the management strategy of yang-ru yin-fa (Confucianism in public and Legalism in private) in Chinese organizations by an emic approach of indigenous psychology.

Design/Methodology/Approach – In consideration of the difficulties faced by either an imposed etic approach or a derived etic approach, this chapter advocates for an emic approach that argues that, in order to understand the specific features of organizational dynamics in China, it is necessary for us to construct an objective system of knowledge (epistemology) on the basis of Chinese cultural values (ontology), which can be examined by methods of social sciences (methodology).

Findings – Based on the theoretical model of Face and Favor, a conceptual scheme was proposed to highlight the contrast between Confucianism and Legalism in traditional as well as contemporary Chinese society. Findings of pervious empirical researches on two types of guanxi, along with two types of official and ethical leadership in Chinese organizations were reviewed to demonstrate the usage of yin/yang balance in strategic management.

Originality/Value – Taking the discourse of this chapter as an example, it is expected that the author's approach may initiate a scientific revolution against the Western paradigms of psychology that had been constructed on the presumption of individualism (Evenden & Sandstrom, 2011; Hwang, 2012).

This chapter is building conceptual background of psychological risk for international tourists. Drawing on Place Attachment Theory, Moral Disengagement Theory, Followership Theory, Job Demands-Resources, Acculturation Theory and Goal Progress Theory of Rumination, this chapter proposes a framework of psychological risks with six psychological risks that tourists could encounter in foreign destination: destination detachment risk, moral disengagement risk, risk of false risk assessment, burnout risk, risk of loneliness and risk of rumination. High destination detachment could lead tourists to behave less environmentally friendly, while high moral disengagement could lead tourists to behave less ethically friendly. Followership to the influencers in social media could lead tourists to engage in risk-taking behaviours and false risk assessment, leading to burnout risk, risk of loneliness and risk of rumination, where negative autobiographical memory is created and forming memory-related distress when they arrive homes. Place detachment and moral disengagement risk local environmental and social health, while burnout, loneliness and rumination pose risks for the tourists' psychological health. Several studies propose suggestions for the destination manager and tourists to manage the risk effectively and adequately, including place attachment and moral engagement campaign, careful travel planning and social support.

This paper examines Aman Ullah’s contributions to robust inference, finite sample econometrics, nonparametrics and semiparametrics, and panel and spatial models. His early works on robust inference and finite sample theory were mostly motivated by his thesis advisor, Professor Anirudh Lal Nagar. They eventually led to his most original rethinking of many statistics and econometrics models that developed into the monograph Finite Sample Econometrics published in 2004. His desire to relax distributional and functional-form assumptions lead him in the direction of nonparametric estimation and he summarized his views in his most influential textbook Nonparametric Econometrics (with Adrian Pagan) published in 1999 that has influenced a whole generation of econometricians. His innovative contributions in the areas of seemingly unrelated regressions, parametric, semiparametric and nonparametric panel data models, and spatial models have also inspired a larger literature on nonparametric and semiparametric estimation and inference and spurred on research in robust estimation and inference in these and related areas.

There have been significant developments in the field of retailing with digitalization. One of these developments is the emergence of omnichannel retailing. Although this has affected both firms and consumers considerably, the literature is dominated by the studies dealing with omnichannel retailing from the firms’ perspectives. The studies dealing with omnichannel retailing from the consumers’ perspectives have recently begun to attract the attention of researchers. For this reason, this study conducted a literature review to examine various consumer behaviors mentioned in the studies aimed at explaining consumer behaviors in the omnichannel retailing context. The distribution of these studies according to years and journals, research methods used, theories adopted, and the related five-stage consumer decision-making stages are summarized. Additionally, this review addresses future research avenues.

A British Airways flight crew arrives after a long flight from London to Chicago to find their hotel rooms are not ready for check-in. The front-desk agents tell them that the hotel is overbooked. The flight crew is asked to wait in the hotel lobby for more than one and a half hours while housekeepers prepare their rooms. Upon returning to London, the pilot complains to British Airways. What should the hotel have done differently to avoid complaints?