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The use of linear regression analysis is common in the social sciences. The purpose of this paper is to show the advantage of a qualitative research method, namely, structured qualitative analysis (SQA), over the linear regression method by using different characteristics of data.

Data were gathered from a study of online consumer behavior in Taiwan. The authors changed the content of the data to have different sets of data. These data sets were used to demonstrate how SQA and linear regression works individually, and to contrast the empirical analyses and empirical results from linear regression and SQA.

The linear regression method uses one equation to model different characteristics of data. When facing a data set containing a big and a small size of different characteristics, linear regression tends to provide an equation by modeling the characteristics of the big size data and subsuming those of the small size. When facing a data set containing similar sizes of data with different characteristics, linear regression tends to provide an equation by averaging these data. The major concern is that the one equation may not be able to reflect the data of various characteristics (different values of independent variables) that result in the same outcome (the same value of dependent variable). In contrast, SQA can identify various variable combinations (multiple relationships) leading to the same outcome. SQA provided multiple relationships to represent different sizes of data with different characteristics so it created consistent empirical results.

Two research methods work differently. The popular linear regression tends to use one equation to model different sizes and characteristics of data. The single equation may not be able to cover different behaviors but may lead to the same outcome. Instead, SQA provides multiple relationships for different sizes of data with different characteristics. The analyses are more consistent and the results are more appropriate. The academics may re-think the existing literature using linear regression. It would be interesting to see if there are new findings for similar problems by using SQA. The practitioners have a new method to model real world problems and to understand different possible combinations of variables leading to the same outcome. Even the relationship obtained from a small data set may be very valuable to practitioners.

This paper compared online consumer behavior by using two research methods to analyze different data sets. The paper offered the manipulation of real data sets to create different data sizes of different characteristics. The variations in empirical results from both methods due to the various data sets facilitate the comparison of both methods. Hence, this paper can serve as a complement to the existing literature, focusing on the justification of research methods and on limitations of linear regression.

The purpose of this paper is to address the still unresolved issue of explaining the mixed diversity effects on team performance found in empirical research. A special focus is on context factors that have remained systematically unexplored with regard to their potential moderating role.

This review thoroughly analyses 30 empirical studies on direct diversity‐performance effects. Information on team context is collected and compared according to diversity type and its relationship with performance. As meta‐analyses and narrative reviews provide contradicting evidence, empirical studies are evaluated in terms of regression results as well as correlation coefficients.

The comparison of regression and correlation results finds contradictions concerning the trend towards positive or negative relationships. Context factors with moderating potential are discovered for some of the tested diversity variables. Reported curvilinear relationships seem to be responsible for non‐significant outcomes of linear analyses.

This review is limited as it only includes studies on direct relationships of diversity and performance whereas work on the link of diversity and team processes is not considered. Empirical diversity studies in the future should include more detailed information on context factors, especially descriptive data of the sample population. New research in this field should furthermore test whether non‐linear relationships exist as they might be the cause for non‐significant linear relationships.

This paper provides valuable insights for researchers investigating the impact of diversity on team performance as it highlights the importance of descriptive context information and potential moderating variables.

Polychronicity is the extent to which people prefer to be engaged in two or more tasks simultaneously. Relationships between polychronicity and four variables were examined in data from four samples totaling 1,173 participants. Only one statistically significant relationship occurred between polychronicity and propensity for creativity after controlling for other variables. Consistent significant relationships were found, however, between polychronicity and orientation to change (positive), tolerance for ambiguity (positive), and organizational attractiveness (positive or negative depending on whether the organization demonstrated a high or low level of polychronicity, respectively). Concatenated replications reproduced each of these three relationships in at least two samples.

The purpose of this paper is to analyse the NAV discount of European REITs listed in France, the Netherlands and the UK between 2003 and 2014, considering elements of both “rational” and “noise trader” approaches.

The analysis examines the hypothesis that discounts (premiums) are the result of leverage, size, liquidity, risk, performance, investment activity and sentiment. The regressions are initially run against the traditional NAV discount, subsequently using the unlevered NAV discount measure introduced by Morri et al. (2005) in order to clean out the bias generated by the level of leverage. The NAV discount is then adjusted for investor sentiment (appraisal reduction) with the aim of better identifying firm-specific factors, considering distortions induced by sentiment.

Higher liquidity commands lower discounts for French REITs, while Dutch and British REITs, which trade in markets characterized by a higher number of average daily transactions, do not seem to feature discounts resulting from liquidity. For all three samples, operational risk and performance are significant in explaining the NAV discount, the former having a positive relationship with the discount, and the latter a negative one. When measured using the average sector discount, sentiment has a profound effect on the discount, accounting alone for 10-15 per cent of the explanatory power of the model.

REITs listed in different markets behave differently. When the discount is adjusted in order to remove the bias resulting from the level of debt, the relationship between leverage and the unlevered discount becomes less pronounced in all cases.

The paper considers a new approach to NAV discount puzzle that takes into account market sentiment and appraisals.

The purpose of this study is to investigate the influence of information and communication technology (ICT) adoption on hotel performance in Thailand.

The elements for measuring the level of ICT adoption include: availability of ICT components, integration of ICT components, and intensity of ICT usage. Operational productivity and customer satisfaction were used for measuring hotel performance. To control for the influence of location and employee and management characteristics on hotel productivity, data were collected solely from three star hotels operating in the same location, Phuket, Thailand. Operational productivity was calculated by using data envelopment analysis. A five‐point Likert type scale was employed to measure customer satisfaction. Multiple regression analysis was utilized to assess the relationship between ICT adoption and hotel performance.

The findings indicate that ICT adoption has a significant positive relationship with hotel performance. However, ICT adoption influences operational productivity more than customer satisfaction within three star hotels. ICT availability and ICT integration have a significant positive relationship only with operational productivity, while the intensity of ICT usage has a significant, positive relationship with both operational productivity and customer satisfaction.

The findings will benefit the hotel industry by providing critical information to management in deciding on the areas in which ICT should be adopted, such as room division or food and beverage division, as well as the specific technologies that would improve hotel performance. It also contributes valuable information to ICT marketing personnel.

This study fills a gap in terms of the requirement for more studies investigating the impact of ICT on hotel performance in general, and in developing countries in particular. This helps in understanding the topic from a developing country's perspective.

Presents the findings of a study performed on data from a large bank’s retail‐banking operations. Illustrates the relationship of customer satisfaction to customer loyalty, and customer loyalty to profitability, using multiple measures of satisfaction, loyalty, and profitability. An estimate of the effects of increased customer satisfaction on profitability (assuming hypothesized causality) suggests that attainable increases in satisfaction could dramatically improve profitability.

There has been considerable debate on the linear relationship between systematic risk and return. The purpose of this study is to investigate whether security return can be explained by systematic risk.

This study employs the market model to test the effect of excess return on portfolio returns. The paper divides total risk into systematic and idiosyncratic risk to examine whether the degree of inefficient portfolio diversification impairs the applicability of the capital asset pricing model (CAPM). In the two‐pass cross‐sectional regressions, the paper assesses whether excess return on a security is directly proportional to the security's beta. The paper also incorporates the total variance of securities and the squared value of beta to capture idiosyncratic risk and the nonlinear risk‐return relationship.

The CAPM is rejected due to positive intercepts in most portfolios and there are large proportions of idiosyncratic risk in these portfolios. Two‐pass regressions show that the security market line theory is valid when additional variables are included in the equation. However, survivorship bias appears to be present in the selected sample.

Since large excess returns are present in the models, the traditional CAPM is rejected and incomplete portfolio diversification can be explained by high levels of idiosyncratic risk.

The authors find that inefficient portfolio diversification is due to the level of idiosyncratic risk in a portfolio. Evidence of the nonlinear beta‐return relationship suggests that the traditional CAPM is misspecified.

The central aim of this research is to deepen the analysis of the influence that crises have on employee relations by using the stakeholder relationship management model (SRM) to analyze organizational employee relationship management (OERM).

This study uses a questionnaire distributed in two organizations (UK-based public sector and private sector) that were experiencing a crisis at the time of data collection. Respondents identified whether they believed the organization was in crisis, if they defined it as in crisis classified what type of crisis it was, and then responded to questions about their relationship to the organization, the organization's post crisis stability and their own behavioral intentions.

The findings verify the applicability of the SRM in employee relations with three critical findings: (1) employees with higher income in the private sector were significantly less likely to believe their organization was in crisis; (2) the more ambiguous the blame for the crisis, the greater the damage on the relationship between organizations and employees; and (3) collective sensemaking in organizations is essential, but less likely when a crisis has damaged the relationship between employees and organizations.

In the last 40 years of Employee Relations, the role of crisis in influencing OERM has not been meaningfully explored in the journal. Therefore, the piece makes an original contribution.

The purpose of this paper is to contribute to the existing knowledge about joint ventures (JV) by modeling the interactional strength of fit between JV partners. The paper integrates different constructs from three theoretical perspectives most widely used in JV studies – trust and commitment from the relational perspective; opportunism and specific investments from the transaction cost perspective; and assesses the moderating role of fit from the contingency perspective.

Quantitative data from JVs were collected using the survey method. Relationships in the moderated mediation model were tested using complex sets of hierarchical regression steps.

Relational intentions of partners influence specific investments between the partners. The two together drive JV performance and their impact is moderated by the extent of fit between the partners. Thus, it is concluded that the strength of fit, as perceived by partners, influences the role of other constructs from the relational, transactional and contingency perspectives, which together can help us understand performance of JVs better.

An assessment of longitudinal view of the relational variables and subsequent performance can be captured in future. This research assesses fit based on compatibility, which assesses similarity as well as complementarity, primarily by way of harmony in different aspects. Future research could differentiate complementarity from similarity to further assess the impact of fit.

The relational behavior of JV partners, or their rational approaches to resource seeking, will be optimally effective only when the fit between partner characteristics is high. While the relational or transactional approaches can evolve in JVs, the partners should assess the extent of fit before getting into a JV relationship.

The research presents a holistic framework that draws from various theoretical perspectives. The results establish that contrary to its peripheral treatment in the literature, fit plays an important role and can modify the influence relational variables and specific investments can have on the performance of JVs.