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The purpose of this paper is to interpret the relationship between supply chain integration (SCI) and performance and to find empirical evidence of the moderating factors that affects said relationship, as well as to describe, classify, and discuss the empirical evidence.

A systematic review of 72 studies published during the period 2001-2015 is offered. A multi-criteria approach is used to sort, structure and classify papers with the purpose of contributing to the discussion.

The direct relationship between SCI and performance shows mostly positive results; however, the moderating effects analyzed show a clear lack of consistency since their effect and significance vary depending on the measures used, both in SCI and performance.

The use of specific keywords of SCI to select an initial sample of papers may lead to a narrow perspective, although snowballing was used to include relevant papers initially excluded.

The analysis and classification of moderating factors as well as the measure of their tendency help to better understand the questions that remain unsolved regarding SCI and performance. Propositions for further research are suggested.

Research on technology acceptance of online entertainment with age, gender and cultural factors as moderator, is rarely conducted. Previous research predominantly focused on age or gender as moderator, neglecting the influence of cultural factors. Therefore, this study aims to investigate acceptance of online entertainment technology, incorporating age, gender and cultural factors as moderator.

Data were collected through a survey comprising 1,121 individuals aged 14–24 years from three cities in Indonesia. The proposed theoretical model examined the causal effect of acceptance and moderating effects due to individual gender, age, power distance, individualism, feminism and uncertainty avoidance (AU). Subsequently, structural equation modeling was used to evaluate the theoretical model, and the results confirmed several findings from previous research.

The findings confirmed the positive direct impact of habit and price value (PV) on behavioral intention and hedonic motivation, as well as social influence on habit. The recent findings derived from the moderating effect analysis showed that age, individualism and feminism played a moderating role in the effects on individual intention due to habit. Additionally, gender and AU moderated the effects on individual habits due to hedonic motivation.

This research contributes to the limited knowledge of technology acceptance of online entertainment, and also integrates the causal effects of individual intention due to habit, PV, hedonic motivation and social influence, considering the moderating role of culture, age and gender. Consequently, the investigation provides valuable insights into the literature by presenting evidence of age, gender and cultural differences in acceptance. Furthermore, it offers practical guidance to online entertainment application developers on designing applications to satisfy consumers of different ages, genders and cultures.

Being clear and specific on what moderating and/or mediating variables are included and what effects are observed in academic research helps the reader to better understand the academic research context and results. But in terms of managerial relevance, it is also important to do this in a way that it provides descriptive, goal and operational relevance to decision makers in practice, depending on the type of intended research. This article wants to provide “a question-based step-by-step guide” on how to make the analysis of moderating/mediating variables and their observed effects more managerially relevant.

Based on a critical review of the literature, important criteria of managerial relevance are confronted with important aspects of theory building with respect to mediating and moderating effects, leading to best-practice insights and recommendations. Moreover, exemplary articles are used to illustrate these findings.

The insights and step-by-step recommendations assist the academic researcher in making choices when analyzing moderators and mediators, by not only taking a theoretical perspective, but also a managerial (relevance) perspective. Adding moderators/mediators may for instance challenge the “core logic of managerial practice” (in terms of thinking and decision making), even if it does not change the “core logic of a theory” as such. In the other direction, academics (and their theory) may be challenged by practitioners, in the way they define moderators/mediators and their levels. The steps in this article relate to aspects such as measurability, controllability and role of moderators and mediators in managerial problem and decision contexts. In case of multiple moderating and/or mediating variables, the decision architecture for managers becomes more complex, especially when the effects are countervailing/opposite. Multiple studies in this article illustrate that in that case, making optimal decisions becomes a “balancing” act for managers/decision makers and may even challenge their common beliefs (e.g. linear thinking).

The guidelines on managerial relevance of moderating and/or mediating variables and their effects can be used by academic researchers and editors of academic journals, pursuing not only academic rigor, but also managerial relevance. Besides being a guide for managerially relevant output, it also helps in determining for which questions in the research process, input from practitioners or at least insights from practice (e.g. through sources such as business magazines and portals) may be needed. The guidelines may also be used for teaching purposes, complementing more theoretical articles that mainly focus on methodological/statistical issues of moderating/mediating variables and their effects.

This study has two objectives. The first aim is to ascertain whether innovation and market orientation have direct, indirect, and causal effects on customer service. The second objective is to ascertain whether market orientation has a moderating effect on the relationship between innovation and customer service. This research follows three distinct methodologies. The first approach uses Cronbach’s alpha coefficient in order to check reliability while an exploratory factor analysis and a confirmatory factory analysis ascertain validity. The second method uses the analysis of structural equation models to test a causal link between variables. The third methodology uses a moderated regression analysis to verify the moderating effects. As our analysis results show, intelligence generation and intelligence dissemination have a moderating effect on the relationship between innovation and flexibility. These results can be interpreted as follows: firstly, customs clearance firms can provide superior service to customers if they strive to understand customer needs and provide them with flexible service at the same time. Secondly, these firms can enhance their flexibility of service in all departments though innovation and information sharing acquired from the market.

The purpose of this paper is to study the adoption of online streaming services from the technology acceptance perspective. A conceptual model incorporating personality traits with the technology acceptance model (TAM) is proposed and tested to predict user's intention to use online streaming services. Apart from the direct effects of personality traits on TAM variables, the study also examines the moderating effect of personality traits on TAM relationships.

To test the proposed model, a structured questionnaire was developed by adapting existing scales for the constructs to suit the online streaming services context. The data for the study were collected from online streaming services users in India. The model was tested using structural equation modeling using AMOS 18. Moderation analysis was performed using the PROCESS MACRO.

The findings suggest that perceived ease of use, subjective norms and technology anxiety affect intention to use online streaming services. Self-efficacy was found to affect perceived ease of use positively, and technology anxiety was found to have a negative effect on perceived usefulness. The results also evidenced the moderating role of self-efficacy and technology anxiety.

The paper explores the adoption of online streaming services from the technology acceptance perspective. Further, very few studies have examined the moderating role of personality traits in technology adoption. This paper attempts to fill this gap. It expands the understanding of technology adoption literature by assessing the direct as well as moderating effect of personality traits.

This study aims to examine the effects of celebrity negative publicity on attitude towards brand, corporation, brand reputation and corporate reputation, both directly and through the moderating effects of social media involvement, brand commitment, identification and attribution (both types). Associative network theory has been used to explain these effects.

A quantitative survey of 550 respondents was carried out in London and surrounding areas. Structural equation modelling was used to analyse the data.

The findings suggest that celebrity negative publicity affects brand reputation and corporate reputation. Further, the moderating effects of social media involvement and brand commitment on attitude towards brand and corporation, identification on attitude towards brand, attribution types on attitude towards corporation were not found.

To the best of the authors’ knowledge, this is the first paper to examine the effects of celebrity negative publicity on attitudes towards brand, attitude towards corporation, brand reputation and corporation reputation, directly, and through the moderating effects of attribution (both types), identification, commitment and social media. Findings from this study will minimise the gap in the literature on the topic and will help managers and policymakers to understand the effects of celebrity negative publicity in detail.

The purpose of this paper is to explain how to model moderating effects of composites using partial least squares (PLS) path modeling. It provides the methodological underpinning of moderating effects in general and describes the various approaches for forming the interaction term, i.e., the product indicator approach, the two-stage approach, and orthogonalization.

The paper discusses the use of standardized vs unstandardized construct scores and introduces spotlight analysis as a useful way to report findings.

Researchers should rely on unstandardized estimates when analyzing moderating effects. Centering or orthogonalization can help improve the interpretability of path coefficients.

PLS software implementations should facilitate unstandardized estimates.

This paper formulates step by step guidelines for analyzing moderating effects of composites using PLS path modeling. It is the first to propose spotlight analysis for PLS path modeling.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

The purpose of the paper is to explore the moderating role of industrial experience in the relationship between different facets of a sales person's satisfaction with the job and his/her intention to quit the job.

The paper is based on the data collected from sales persons from a pharmaceutical company in India. Dimensions of job satisfaction have been specifically developed for this study due to the cultural specificity of the context. The job satisfaction scale was developed through a process of qualitative research.

The paper finds that industry experience moderates the job satisfaction, disinclination to quit relationship for most of the job satisfaction dimensions. Specifically it is seen than Industry experience has a moderating effect when the effect of a salesperson's satisfaction with the organizational HR policies, supervisor satisfaction, compensation policies and career development and disinclination to quit, are considered.

The paper contributes to the existing literature by considering the moderating effect of Industry experience, a variable hitherto not considered in sales management literature. This extends knowledge on the factors that affect a sales person's disinclination to quit – an extremely important factor in sales force management

While this paper extends the already existing knowledge about the moderating variables that affect the relationship between job satisfaction and intention to quit, its original contribution is in terms of the setting – India, as well as the identification of a moderating variable‐industry experience.

This study reviews the use of meta-analysis in accounting research. We categorize the meta-analytic research into five topics: financial reporting, auditing, corporate governance and accounting quality, management accounting, and miscellaneous topics. Further, we classify the studies by the meta-analysis technique employed: Hunter et al. (1982), Hunter and Schmidt (2000), Lipsey and Wilson (2001), and Stouffer’s approach. We identify 27 meta-analytical studies over the period 1985–2014 with financial reporting (auditing) topics representing seven (six) of these studies. Our review highlights that meta-analytic methods are being applied and accepted, more frequently, to answer complex questions concerning the moderating effects of country-level variables, such as national culture, economic conditions, and institutional characteristics, on various associations of interest.