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Numerous scales have been developed and utilized in the tourism and hospitality field, yet, their psychometric properties have not been systematically reviewed and evaluated. This gap compromises researchers' ability to develop better measures and improve measurement decisions. In this current study, 56 scales were identified and evaluated in terms of their psychometric properties. It was found that most scales were imperfect in measuring tourism and hospitality domains, and most scales did not provide explicit information about the scale development procedures that were adopted. The scale development procedure and psychometric properties of the reviewed scales are summarized, evaluated, and recommendations are made for future tourism and hospitality scale development.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Purpose – A major limitation in cross-cultural research continues to be attempts to compare construct measurements across cultures without adequate conceptual and empirical evidence of the equivalency of the measurement scores. Of significant concern in such studies is the presence of various types of response bias that may systematically differ from one culture to another, resulting in a potential violation of the assumption that measurement scores across cultures are equivalent. The focus of this study is to investigate the role of the response format type, extreme response style (ERS). Most studies have investigated response bias styles using Likert-type scales as response formats, yet it has long been argued that these particular formats tend to result in various types of response style bias, especially in cross-cultural research. Would other scaling devices, such as semantic differential (SD), lessen response style bias in pan-cultural studies? To answer this question, our study employs two types of response formats (i.e., Liker-type and SD) to empirically test for the presence of ERS within each response format style.

Methodology/approach – This chapter takes the form of empirical research using ERS indices to test for the degree of ERS between response formats using samples from a collectivistic culture (i.e., South Korea) and an individualistic culture (i.e., United States).

Findings – Results show that samples from both cultures exhibit greater levels of ERS when using Likert-type scales compared to SD scales. Additionally, this study finds that, when using Likert-type scales, ERS is greater for U.S. respondents than for South Korea respondents. Finally, results show that there is no statistically significant difference in ERS between the two cultural groups when using SD response formats.

Research implications – Findings show that the use of SD response formats eliminates systematic differences in ERS between a collectivist sample and an individualist sample. Therefore, the use of such response formats in future cross-cultural research can greatly diminish the problematic effects of culturally based ERS and lead to greater confidence in the equivalency of measurement scores across cultures.

Originality/value of paper – This study is the first to simultaneously assess culturally based ERS using two types of response formats to investigate the impact of response format on ERS. Furthermore, this study assesses the role of response format on ERS both within and between two distinctly different cultures.

The concept of entrepreneurial orientation (EO) attracts considerable attention in the organizational literature. Focusing on issues related to measurement of EO and using a three-pronged framework to organize the growing diversity of EO measures, the authors conduct a systematic literature review on how EO is captured and assessed in the empirical literature. Specifically, the authors classify 551 empirical works according to the approach to measurement (i.e., managerial perceptions, content analysis, and resource allocations) which allows the authors to document and critically analyze prevalent measurement practices within the literature. Based on the synthesis, the authors identify key measurement-related tensions that may inhibit cumulative knowledge development in the area of EO, such as ad hoc modification of seminal scales and lack of theoretical clarity with respect to measurement. Additionally, the authors find that research into the antecedents of EO as well as causality and temporality of the phenomenon is underdeveloped, which the authors attribute to scarce use of mixed methods. The authors conclude chapter by discussing the challenges involved in measuring EO and offering possible recommendations for future inquiry.

In the literature on product branding, significant attention is given to brand equity in the consumer context, but relatively little attention is paid to the application of the concept in the business-to-business (B2B) context. Even less research exists on the role of brand equity in the retailing context. Retailers are often seen as irrelevant to the source of brand value, resulting in manufacturers not targeting retailers to help them build stronger brands. Potential occurs, therefore, for some channel conflict to exist between manufacturers and retailers. On the one hand, retailers tend to focus on building their own, private brands to differentiate themselves from other retail competitors and to increase their power in relation to manufacturer brands. At the same time, most retailers still need to create a good image in the consumer marketplace by selling famous, manufacturer-branded products. In other words, retailers often have to sell famous brands even if they would prefer to sell other brands including their own. Manufacturers tend to focus their brand-building efforts on the consumer market to entice consumers to insist that retailers stock their brands, rather than placing any real emphasis on building a strong and positive brand relationship with the retailer directly.

Over the last decade, latent growth modeling (LGM) utilizing hierarchical linear models or structural equation models has become a widely applied approach in the analysis of change. By analyzing two or more variables simultaneously, the current method provides a straightforward generalization of this idea. From a theory of change perspective, this chapter demonstrates ways to prescreen the covariance matrix in repeated measurement, which allows for the identification of major trends in the data prior to running the multivariate LGM. A three-step approach is suggested and explained using an empirical study published in the Journal of Applied Psychology.

The purpose of this chapter is to trace the evolution of the concept of measurement in financial reporting and to address the question of whether measurement in financial reporting is a process of “measurement” or whether it constitutes something else, which should not be called measurement, but rather characterized a practice which assigns numbers to elements in financial statements as opposed to the process of measuring. The chapter begins with an examination of the concepts of measurement put forth in recent years by the United States Financial Accounting Standards Board and the International Accounting Standards Board, followed by a summary of the general theory of measurement in the natural sciences, and finally a review of the arguments raised by accounting theorists such as Edwards and Bell (1961), Chambers (1966), and Sterling (1970) with respect to the measurement of business income. We agree with Sterling’s argument that business income should be “measured” by the difference between net equity (i.e., assets − liabilities) at two points in time, adjusted for investments and disinvestments by owners, and also the argument that the difference in equity should be determined by the change in exit prices of net assets at the beginning and the end of the accounting period. However, we are less convinced by his argument that the determination of exit prices constitutes a “measurement” process. This leads to the principle argument of this chapter, which is that “measurement” in financial accounting may not constitute a measurement process at all.

Purpose — In this chapter a case will be made for the importance of measuring well-being in transport mobility research. A number of well-being measures and determinants of well-being will be presented in reference to the current project. This chapter will then conclude with some practical recommendations for transport mobility researchers wishing to include well-being measures in their future studies.

Methodology — Measurement methods associated with previous transport mobility and well-being research will be critically examined so that strengths and limitations can be identified. The measurement approach to well-being adopted for the current project will be presented and associated challenges experienced by the research team will then be discussed.

Findings — A review of the extant transport mobility research which includes an assessment of well-being shows that it is not uncommon for unstandardised measures of well-being to be adopted. In addition, exploration of relationships between transport mobility and well-being are often undertaken without any consideration of potential moderating or mediating factors. More work is needed to advance our knowledge of the transport mobility and well-being relationship and the underlying mechanisms driving this relationship. Research also needs to focus on undertaking longitudinal studies which will enable causation to be established.

Many consumer-focused corporate social responsibility (CSR) studies suggest a positive link between the responsibility demonstrated by a company and consumers’ intention to favor the company in their purchases. Yet an analogous causal effect between corporate social and financial performances is not evident. This chapter conceptualizes how social desirability and cynicism contribute to the discrepancy between consumers’ attitudes and their actual purchase behavior, and analyzes why consumer choices indicated in surveys do not consistently convert into actions.

We develop a conceptual framework based on hybrid choice modeling to estimate the impact of two new variables, Corporate Social Desirability and Corporate Social Cynicism, on CSR research. The model presented synthesizes research findings from the fields of CSR and psychology with a discrete choice methodology that allows inclusion of psychological aspects as latent variables.

The goal of the framework is to bridge the gap between choices stated by consumers in CSR surveys and their actual choices by quantifying and extracting the effects of biases that otherwise threaten the validity of such survey results. As the next step, the practical value of the model must be evaluated through empirical research combining a CSR choice study with social desirability and cynicism measurement.

The framework proposes a novel way of controlling CSR surveys for potential biases created by social desirability and cynicism and enables quantification of this impact, with potential application to other fields where psychological aspects may distort research results. Future empirical evidence based on the framework may also offer new insights into the mechanisms by which the two biases distort findings.