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Although scholars have paid considerable attention to the relationship between technological diversification and firm performance, research on this relationship has produced mixed findings. To reconcile these inconsistent findings, this study, thus, aims to revisit the performance effect of technological diversification by considering two organizational characteristics as crucial moderators, namely, firm size and financial slack.

To test the research hypotheses, the research sample covers manufacturing firms in the 2008 Standard & Poor (S&P) 500 index. Data regarding the characteristics and patent information of the sample firms were obtained from Compustat and the US Patent and Trademark Office. The hypotheses were tested by using hierarchical regression models.

In a sample of 168 S&P 500 manufacturing firms, this study finds that technological diversification has a positive effect on firm performance. The relationship between technological diversification and firm performance is also found to be positively moderated by firm size, financial slack and their configuration.

The findings of this study further suggest that firms should be aware that the effect of technological diversification on performance can be enhanced or hindered in specific contexts.

The industry-wide adoption of a novel practice is often considered to be an institutional change. Although research on institutionalization has been accumulating, how and why embedded actors in the field become motivated to embrace change that remains sidelined. Viewing the introduction of a new human resource management practice, the recruitment of non-compulsory certified manpower, which is still in its infancy in the service sector of Taiwan, as a new institution, the purpose of this paper is to identify the distinct motives behind firms’ hiring decisions, and examine the extent to which such hiring decisions are contingent on institutional conditions and firm attributes.

The data used to test the hypotheses were drawn from a survey on service firms in Taiwan in the second half of 2011. Hypotheses were examined through moderated hierarchical regression analyses in a sample of 254 Taiwanese service firms across major sectors.

Integrating the resource dependency and social contagion views, the study contends that resource scarcity drives, or legitimacy enables, service firms to deviate from traditional hiring patterns and instead adopt new preferences toward certified manpower. The study not only shows that social factors should be incorporated into the diffusion of a new HR recruitment practice in the service sector, which is traditionally based upon economic considerations, but also sheds light on the context-dependent nature of the process of institutional innovation.

This study is an attempt not only to test a dual-theoretical model on the extent to which a service firm’s new hiring pattern is influenced by two distinct types of motivation, but also to evidence how an institutional innovation, in terms of the regime of service manpower certification, takes root and spreads in the field. The managerially discretional account of the resource dependence theory needs to be reconciled with social contagion theory, which highlights the influence of collective actions and so provides a better understanding of the diffusion of new HR recruitment practices in the service industry.

Although a number of studies have researched food firms’ unethical practices, the mechanisms used to prevent these practices remain underexplored from the perspective of corporate governance. As independent directors (IDs) have been viewed as a mechanism to deter corporate misconducts, the purpose of this paper is to investigate the influences of the ratio of IDs on the board, IDs’ industrial experience and their participation in corporate governance training courses on food firms’ unethical production practices.

This study is based on a sample of 239 firm-year observations in Taiwanese food industries. The Poisson model with fixed effects was used to test the research hypotheses.

The results show that board independence and IDs with food industry expertise were not effective in deterring food firms from unethical production practices. The expected monitoring function of IDs would only realize when they complete a sufficient number of corporate governance training courses. These courses can make IDs aware of their responsibilities and roles in governing firms.

This study is the first to identify the effects of corporate governance practices on food firms’ unethical production practices. The value of this study may provide food firms practical solutions that enable corporate executives to behave ethically.

This study aims to analyze the link between earnings pressure and R&D cut as well as the moderating effects of family control and debt.

In total, 6,130 firm-year observations of Taiwanese-listed firms were used to test the hypotheses by using a panel data regression with fixed effects estimation.

The study reveals that earnings pressure is positively related to R&D cut, and this relationship can be softened when having the presence of family control and debt.

This study is conducted based on some conditions: data collection comes from a single source, earnings pressure mainly comes from analysts, R&D intensity is significant among industries, debt is a given condition to managers. Future studies, thus, are suggested to use other approaches to have further information and extend the knowledge without these conditions.

Under the pressure of meeting analyst forecast, managers have more opportunities to flourish their priority on improving temporary profits rather than implementing R&D investments with costly budget but unpredictable outcomes. In addition to responding to the positive effect of earnings pressure on trimming long-term corporate investments, this study also found some corporate governance mechanisms to soften the managerial short-termism behavior.

The findings partially contribute to broadening the existing knowledge base on the impact of earnings pressure on corporate activities and how some mechanisms serve as moderators.

The spatial and psychological distance within agri-food chains provides both profit and risk for supply chain members. Grounded on the transaction cost economics (TCE) and institutional theory (IT), the purpose of this paper is to test whether the adoption of multiple supply chains (MSCs), which adopt both traditional and shortened supply chains, can be used to manage uncertainty and mitigate the risk associated with a supply chain.

In order to test the hypothesis, matched questionnaire surveys were developed to collect the data from farm managers and consumers. Completed questionnaires were received from 112 respondents. The hierarchical regression analysis was performed to test hypotheses.

The result shows the positive effects of environmental and behavioral uncertainties on MSC adoption and represents the diminished moderating effects of institutions (industrial and consumption tendency) on the relationship between uncertainties and MSA adoption.

This study only explored producers and their recommended consumers; future studies can undertake questionnaire designs (one producer-to-many consumers) and empirical analyses with analytic hierarchy process theory to reexamine the hypotheses proposed in this study.

MSC adoption is a way to manage uncertainties resulting from spatial and psychological distance in the supply chain. Producers and consumers show their risk preferences by SC adoption after considering pre-constructed societal norms. Therefore, the consumers’ and producers’ choice of a supply chain reflects a process of communicating risk. The adoption of a mixed governance mode (MSC adoption) and accessing information about common practices are two ways to decrease such uncertainties.

There are multiple goals (traceability, fairness, efficiency, well-being) in the food supply chain that may be satisfied by MSC adoption. Therefore, policymakers should understand the different values of various supply chains and facilitate the development of various supply chain modes.

This study integrated the undersocialized and oversocialized perspectives (TCE and IT) to understand how uncertainties of supply chains may be diminished. Based on these perspectives, it found that the adoption of the mixed governance mode and accessing of institutional information are two ways to decrease such uncertainties.

Corporate governance scholars have long been interested in understanding the impact of former chief executive officers (CEOs) who do not fully leave office but rather remain as board members. Departing from the inconclusive findings of retaining Janus-faced predecessor CEOs on boards, this study revisits the concept of retaining predecessor CEOs on boards (RPCB) and its influence on successors and firm performance under certain conditions.

The study analyzes a sample of 461 Taiwanese firms from 2015 to 2019, adopting the ordinary least squares regression method to examine the correlation between RPCB and firm performance. It specifically analyzes the moderating effects of the complexity of firms' internal and external environments in this context.

The empirical results show that there is no direct relationship between RPCB and post-succession performance, indicating that this association is shaped by contextual factors. Indeed, the influence of predecessors is more pronounced in situations of high internal and external complexities such that the value of RPCB is situation specific.

This study is the first to generate the resource-based view theory to recognize that the relationship between predecessors on boards and financial consequences is moderated by contextual factors. The authors are the first to extend extant research by considering internal and external complexity in the context of succession and RPCB. In such situations, successors' need for regular mentoring is heightened and the benefits of prior CEO knowledge and resources are more substantial.

Kano's model is extensively applied in industry and by researchers. However, the model has a shortcoming in that enterprises cannot use it to evaluate the influences of quality attributes on product precisely; the lack of consideration of the different attribute strengths among 25 possible outcomes affects judgment of the categories in Kano's evaluation sheet. The aim of this study is to measure the quality attribute strength of 25 possible outcomes in the evaluation sheet to develop a new Kano's evaluation sheet to improve the accuracy of the classification of the quality attributes.

This study develops a new Kano's evaluation sheet, and defines the canonical and non‐canonical judgment of the evaluation sheet based on a novel “similarity” calculation which calculates the response frequency and the distance between canonical judgment and non‐canonical judgment.

Quality attribute strength is probed and compared with the traditional Kano's evaluation sheet. The new Kano's evaluation sheet is more practical because it supports a precise judgment of the category of quality attributes. Empirical results also demonstrate that the new Kano's evaluation sheet is practical.

The new evaluation sheet presents not only a different logic of classification and statistical method for analyzing quality attributes, but also reviewed judgments of the category of quality attributes from Kano's traditional evaluation sheet.

Traditional studies on a decomposed theory of planned behavior (DTPB) analyze the relationship of variables through a structural equation model. If certain variables do not fully comply with the independent hypothesis, it is not possible to conduct proper analysis, which leads to false conclusions. To solve these problems, the aim of this research is to adopt an expert opinion‐driven decision making trial and evaluation laboratory (DEMATEL), and re‐establish the causal relationship and the degree of interrelationship of DTPB variables.

This research used a university library website as an individual case, and illustrated the benefits of constructing DTPB model by using DEMATEL through the opinions of 23 experts surveyed by questionnaires.

According to the analysis result of constructing DTPB model by using DEMATEL, when DTPB variables were distributed within quadrants of high centrality and degree of causality, they became the key influential variables; when distributed within quadrants of low centrality and degree of causality, the variables needed urgent management.

When traditional DTPB does not consider the direct and indirect relationships among variables, the original causal relationship of variables will be influenced, and then the original variables cannot fully demonstrate their causal relationship. Therefore the feasibility and effect of constructing DTPB model by using DEMATEL proposed in this research are proved through individual cases.

The purpose of this study was to examine overall customer satisfaction associated with medical service quality in Taiwan by integrated Kano’s model and customer satisfaction index model. Another purpose was to confirmed nonlinear and asymmetric relationship of Customer Satisfaction and Quality Performance by the research outcome. By analyzing 1,100 patients or their family members, this study used the structural equation model (SEM) with AMOS software for data analysis. The results show that must‐be attributes, one‐dimensional attributes and attractive attributes had a direct effect on overall customer satisfaction, Surprisingly, overall customer satisfaction had positively influenced customer loyalty customer satisfaction had negatively influenced customer complaints. The study also found that customer complaints have direct effect on customer loyalty. Importantly, the study found out the must‐be attributes, the attractive attributes and one‐dimensional attributes increased, the level of overall customer satisfaction also increased. The customer satisfaction positively influences customer loyalty in medical service quality in Taiwan. The findings might reveal new insights for researchers dealing with quality of medical service and for hospital managers who devote resources exclusively to achieving highest possible levels of patient satisfaction.

The purpose of this paper is to establish a product family that can satisfy various market needs and share design elements.

The paper applies quality function development to understand the correlation between customer needs and product design. The priority sequence and correlation of these design elements will be determined using the interpretive structure model.

This approach will reduce repeated design effort and reduce unnecessary cost and time. The designer can simultaneously and efficiently meet various market and customer needs.

The company can open up more markets for greater profit and advantages. The paper uses “the market need and BIKE product redesign” as the example for the proposed approach.