Effects of Network Embeddedness on the Relationship Between Environmental Volatility and Interfirm Contracts

Purpose: This study examines the effects of an embedded network on the contractual relationship between exchange parties under conditions reflecting varying levels of environmental volatility and investigates the role of an important network factor—the embedded network—in the contractual relationship between manufacturers and their suppliers.

Methodology: The empirical test was conducted with manufacturing companies in the context of manufacturer–supplier relationships. Construct measures were based on existing measures and previous research. Measurement reliability and validity were established using exploratory and confirmatory factor analysis and an overall measurement model was assessed with structural equation modeling using LISREL.

Findings: The results of a survey of manufacturers indicate that firms in an embedded network preferred “soft” contracts even when they face volatile environments, whereas those facing volatile environments in a less embedded network preferred “hard” contracts with explicitly specified written requirements. Network partners carefully evaluated embedded networks (a critical factor that has not received enough attention) before forming contractual relationships in a network perceiving interfirm relationships differently.

Originality: The study introduces network embeddedness to explain governance mechanisms in volatile environments and shows that the explicit recognition of embedded network may facilitate the development of contracts with specific provisions as the contractual relationship evolves.     

Psychological antecedents and risk on attitudes toward e-customization

Consumers can experience relatively low prices with the dramatic diffusion of online shopping even with customized products, which are commonly more expensive than regular products, due to unique functions of customized product order processes in online environments. This paper investigates how two psychological antecedents, (1) need for uniqueness and (2) status aspiration, can influence consumers' attitude with regard to forming procedures toward e-customized products and how perceived risk, another psychological factor, on purchasing e-customized products plays a role of moderating factor. A self-administered online survey of 321 Japanese consumers is conducted to examine a proposed conceptual model with Structural Equation Modeling (SEM). The analysis using results indicates that the need for uniqueness directly impacts on attitude toward e-customized products while it mediates the effect of status aspiration. A multi-group analysis to test a moderating effect of the perceived risk on purchasing e-customized products highlights the significant effects of psychological factors. The result also provides potential guidelines to e-tailors on possibility of segmenting markets as well as promoting their customized products using these psychological criteria of their target consumers.     

Investment opportunities and dividend omissions

This study examines the market's reaction to dividend omission announcements and finds that if dividends are skipped to preserve cash for good investments, investors do not necessarily regard the omission as negative information. Markets penalize firms for dividend omissions only in the absence of a good stream of investments. In addition, the positive relation between investment opportunity and abnormal stock returns around the announcements is stronger when the level of information asymmetry between management and the rest of the market participants is low. Additional tests reveal that good omitters overcome underperformance faster in the post period. Overall, the results suggest that financial markets interpret differently the information conveyed in the announcement of dividend omission depending on the firm's future prospects.     

Deriving joint space positioning maps from consumer preference ratings

Joint space multidimensional scaling maps are often utilized for positioning analyses and are estimated on survey samples of consumer preferences, choices, considerations, or intentions so as to provide a concise spatial depiction of the competitive landscape including relevant dimensions or attributes, competing brands, and consumers in the same joint space representation. Care has to be given concerning the underlying scale properties of such survey data so as not to distort the resulting joint space positioning map. We present a new joint space multidimensional scaling procedure for positioning analyses for displaying the structure in such survey data when such common ordered successive category measurement scales such as Likert, Edwards, semantic differential, etc., are employed. We present the technical details of this stochastic ordered preference multidimensional scaling vector model as well as the maximum likelihood estimation-based algorithm devised for parameter estimation. Favorable comparisons are made with several existent multidimensional scaling methods in representing the internal structure for such data in marketing positioning studies. An actual commercial positioning application concerning large sports utility vehicles consideration to buy judgments is presented with predictive validation comparisons with other multidimensional scaling joint space procedures.     

Measuring living standards from the lowest: Height of the male Hangryu deceased in colonial Korea

The living standards in Korea during the colonial period (1910–1945) have been debated for a long time. We explored this problem using the height of the Hangryu deceased, a dead person who did not have any acquaintances to claim the body. We found that the height of male Hangryu deceased, ages 25 to 30, increased by 2.2 cm during the colonial period. This result is consistent with recent quantitative studies measuring income levels or demographic information. However, questions such as when this growth in height started and what initiated this pattern need further investigation.     

The customisation framework for roadmapping product-service integration

Product-service integration is becoming a dominant contemporary trend, motivated by how technology can shape areas of potential product/service interactivity and triggers interactions. Since the role of technology differs from case to case, the strategic planning of product-service integration should focus on accommodating the real-life business situation. In response, this paper suggests a customisation framework for product-service roadmapping according to the technological interface involved, and provides practical guidance in its implementation. This framework consists of five steps in three main stages. The first deals with the structural determination of roadmapping, planning ??what to plan??, determining the role of technology and the roadmapping format. The second phase plans the functional determination, dealing the issue of ??how to plan??, including deciding on the relevant roadmapping procedures and methodology. Finally, the roadmap for product-service integration is developed. To illustrate the workings of proposed approach, six case examples are provided for different modes of integration, providing a practical illustration for product-service integration.     

Agriculture–nutrition linkages with heterogeneous,unobserved returns and costs: Insights from Tajikistan

Agriculture–nutrition linkages (ANLs) have been increasingly investigated in the literature. However, nutritional returns and costs of household agricultural production practices (APPs) in semisubsistence settings are poorly understood. We fill these knowledge gaps using pooled cross-section data sets in Tajikistan, where semisubsistence farming and undernutrition coexist despite relatively good agricultural infrastructure and education systems. Agricultural diversification, yield enhancement, production expansion are positively associated with various nutritional outcomes, particularly in areas with poor food market access. Decomposition exercises suggest that nutritional returns and costs of these APPs vary across households, and the adoption of APPs is driven by the expected nutritional returns. In Tajikistan, improving nutrition through household ANLs requires growing the smallholder agricultural sector in multiple dimensions, including diversification, intensification, and expansion, while also understanding better the pathways of ANLs and addressing bottlenecks at appropriate stages of such pathways.     

Application of social media analytics in tourism crisis communication

Given the newly established communication environment of social media and highly unpredictable crisis situations, this study questioned how tourists facing an unexpected crisis situation use social media to communicate and search for information. To this end, this study developed a multi-phased social media analytic framework (data crawling, data processing and text mining, social network analysis, semantic network analysis, and network visualization) to assess the structure of information exchanges between the members of a tourism organization’s social network community and identified influential actors and information content within the social network. This study’s findings suggest genuine ways of relating with and utilizing opinion leaders and influencers in social media marketing communication as well as crisis communication. The authors expect this proposed methodological framework of social media analytics to help other scholars scientifically identify and implement the proper methodologies for utilizing social media data.     

Do socially responsible activities help hotels and casinos achieve their financial goals?

While the concept of corporate social responsibility (CSR) has gained much attention and is currently practiced by many companies, it has yet to be empirically examined in the context of hotels and casinos, especially in regard to the potential effects of CSR on firm value and performance. As the findings on the relationship between CSR and financial performance have been inconclusive and this relationship has been found to differ among industries, this study examines the relationship between CSR and firm value and profitability for hotels and casinos. Results of the Durbin–Wu–Hausman (DWH) test and a subsequent two-stage least square (2SLS) method show that hotel companies’ CSR has a simultaneous and positive relationship with financial performance. For casino companies, however, results show that CSR has no simultaneous or particular effect on financial performance. Findings suggest that hotel companies can confidently and strategically increase CSR investment to enhance both short-term (profitability) and long-term performance (firm value). Casino companies need to carefully examine the effects of CSR on financial performance, when making CSR-related decisions.