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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.

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.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

The purpose of this paper is to examine the factors that influence the attitude and behavioral intention towards mobile wallet adoption and to examine the moderating effect of gender and age between antecedents of mobile wallet adoption and user attitude and intention.

Based on the literature review, certain themes around mobile wallet adoption were generated around which inputs were sought through two focus group discussions, first of which comprised working executives and second comprised students. A sample of 744 users of mobile wallet provided their awareness on mobile wallets, various mobile wallet services used and perception on ease of use, usefulness, trust, security, facilitating conditions and lifestyle compatibility (LC). To examine the moderating effect of gender and age, two methods, namely, Henseler’s partial least squares-multi group analysis (PLS-MGA), a non-parametric approach, and PLS-MGA, parametric approach, are used. The data was analyzed using partial least square-structural equation modeling.

The ease of use, usefulness, trust, security, facilitating conditions and LC significantly influence user attitude and intention. The results show that both gender and age moderate the relationship between select antecedents and attitude and intention and the influence is seen more for males and young users.

The sample comprises students and professionals from metros and large cities; hence, the generalizability of the results to the population at large may be limited. This study only examines the moderating role of age and gender. Future studies may include other demographic variables such as education, income, occupation, experience and household size.

The findings help mobile wallet service providers understand the relevance and influence of various antecedent variables on the attitude and intention to adopt technology. This will help to plan and prioritize attributes for marketing purposes to increase the adoption and usage rates. Moreover, managers should plan strategies to enhance confidence among females and old age customers.

The proposed model both investigates the impact of antecedents on user attitude and intention and examines the moderating effect of select demographic variables. There are few empirical studies on the moderating effect of gender and age in the context of mobile wallets in India.