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MIS researchers have consistently adopted survey‐based research method while investigating MIS and related phenomenon, making survey‐based research method one of the widely used research method in MIS research. This study seeks to revisit some of the inherent characteristics of survey‐based research method with the aim of improving the quality, replication, and validation of results in MIS survey‐based studies. Additionally, this study provides information on the most prevalent analytical and statistical tools used in MIS survey research studies.

In this research, the authors adopt the content analysis technique. The choice of content analysis is premised on the desire to investigate the sources of survey data, units of analysis, research methods, and statistical tools used in MIS research with the aim of improving empirical research in the MIS discipline.

The results show the prevalent sources of data, the dominant units of analysis, the most commonly used analytical research methods, and the statistical tools adopted by many MIS researchers. The results indicate that many MIS researchers get their data from US sources, although researchers are increasingly acquiring data from other countries. Also, the results reveal that most MIS survey researchers are using SEM, LISREL, and PLS statistical methods and tools.

The paper concludes with recommendations and implications on how to inform and retool upcoming and existing researchers on the current and future MIS research tools and methods. Editors should ensure that MIS researchers provide as much information as possible about the sources of data, the dominant units of analysis, the analytical research methods used, and the statistical tools adopted; these will demonstrate the rigor of the research process and enable replication, validation, and extension of the research works.

The paper presents the results of a content analysis of 749 survey‐based research articles published between 1990 and 2010 in nine mainstream MIS Journals. Prior studies have broadly addressed aspects of MIS research methodologies like investigating MIS research methods, ranking them, and generated a taxonomy of MIS research methodology. The results of this study make a case for the reporting of, both, the analytical method(s) and statistical tools used by MIS researchers to aid in replicating, validating, and extending the resultant findings of their survey‐based research.

The purpose of this paper is to review and classify survey‐based research connecting information and communication technology (ICT), supply chain management (SCM), and supply chain (SC) performance. The review evaluates present empirical results and aims at detecting explanations for similarities and differences in reported findings in the current literature.

The paper is based upon a structured literature review of the major journals in the fields of operations management, logistics, and information systems.

The point of departure in this paper is the possible inconsistency in reported findings within this field of research. The paper finds that measurements and constructs in all three major variables (ICT, SCM, SC performance) are different and often incomparable, and contextual factors are not systematically considered. Surprisingly, despite these differences, the papers reviewed show that generally, there is a positive direct or indirect effect of ICT on performance and SCM.

The paper aims at reviewing the survey‐based literature only. Findings from case studies and other types of studies are not considered. An implication of this paper might be to reconsider how future survey studies should be designed and what constructs and issues need to be incorporated. Specifically, the relationships between single technologies, aspects of SCM and performance dimensions need specific attention in future research.

The paper offers a systematic review that helps to further develop our understanding of the relationship of SCM, ICT, and SC performance.

The purpose of this research is to analyze both survey and non‐survey data to draw conclusions about the status of survey‐based research in finance.

The paper surveys editors from 15 core and 35 non‐core finance journals to learn their views about specific issues involving survey research and reviews 49 finance journals over the period 1985‐2005 to identify and classify published survey research.

Editors indicate that survey‐based manuscripts typically go through the same review process as other manuscripts. They view the chief strengths of surveys as producing data unavailable from other sources and suggesting new avenues for future research. The major weaknesses of surveys are the difficulty of generalizing the results and non‐response bias. A review of 49 finance journals shows that 63.3 percent published at least one survey article during this period. The most common topic area for published surveys was financial management.

The paper contains the normal limitations associated with the survey method including potential non‐response bias.

Survey‐based research has a definite place in financial research if such research is done to the same standards as other types of research.

This is the first study to examine the use of survey research in finance by asking journal editors their opinions and by inspecting finance journals' record of publication.

The purpose of this paper is to review the current state of survey-based SCM research that employs a multiple-informant perspective. Recommendations on how to rigorously conduct such research are developed, strengths and limitations discussed, and opportunities for advancing the discipline through this approach identified.

A systematic literature review (SLR) of 1,048 articles published in five leading SCM journals within a seven-year time frame is conducted.

The review shows that multiple-informant studies are still largely under-represented. Yet this approach more accurately depicts the multi-faceted nature of SCM. Specific requirements of this approach need to be considered throughout the research process, from unit of analysis, sampling frame, and data collection to analytic strategy.

Taking into account the often complex, dynamic actor networks in which SCM phenomena are embedded may provide new insights, especially when controversial results have been found. This approach may also enrich the understanding of phenomena that have previously been examined only from a monadic perspective.

The paper examines the low incidence of multiple-informant survey research in SCM, discusses how its application can advance the field, and provides guidance on how to effectively apply this approach to more fully understand complex SCM phenomena. It further shows that studies using multiple informants yield novel theoretical insights and valuable recommendations for decision makers on how to use the interfaces between different actors across functional and organizational borders.

The chapter furnishes empirical evidence about the extent and profiles of autonomy of EU agencies, the modalities whereby they are steered and controlled, and the interactions they have in EU policy networks. It thus provides the bases for a more complete picture of the EU multi-level administration.

The research is a survey-based design. A questionnaire was administered between July 2009 and April 2010 to 30 EU agencies included in the study population. The questionnaire was sent to the executive director of all the agencies included in the study. Questions were closed-ended, either in the form of multiple choices – with one answer or with check-all-that-apply and an option for ‘other’ to be filled – or in scale format. The resulting data set included ratio, interval, ordinal, and nominal scales. The reference model employed for the investigation relies on the analytical model developed within the framework of the research project COST Action IS0651 CRIPO (Comparative Research into Current Trends in Public Sector Organization – see also ‘Acknowledgements’) for the study of public agencies in Europe (Verhoest, Van Thiel, Bouckaert, & Lægreid, 2012).

EU agencies display a rather low level of managerial, especially financial, autonomy; conversely, they enjoy relatively high policy autonomy. As to the way in which multiple ‘parent’ administration steer EU agencies, it emerges a composite picture, in which the crossroads of steering and control by the parent administrations and accountability by the agency lies in the executive director. In terms of interactions within policy networks, EU agencies interact in a significant way with the European Commission, with national-level agencies in the pertinent policy field, and with specific technical bodies where they are part of the configuration of the policy sector, whilst interactions with national ministries as well as with other EU agencies are rare. No single model can capture in full the overall features of EU agencies, although the ‘community level institution’ model seems to capture a number of the profiles of these agencies.

Both the literature on EU multi-level administration and research agendas in public management can benefit from inclusion of – and in-depth empirical knowledge about – EU agencies. The chapter provides important empirical evidence to these purposes.

EU agencies are actors in European public policy-making, albeit to a varied extent depending on the sector. The extent of autonomy and the way in which they are held to account are crucial aspects for an enhanced understanding of their influence on European public policy-making, as is their location in European policy networks.

Research presented in this chapter is the first systematic empirical investigation of EU agencies encompassing networking, steering and control and autonomy of EU agencies, based on primary data.

This research aims to investigate the influence of the implementation of technical cycles on both captured value and shared value in the circular economy context. Moreover, it analyses the moderating effect of competitive criteria on the relationship between technical cycles and captured value. Finally, it examines the relationship between the captured value and the shared value.

This research follows survey-based research with data gathered from 50 countries and 16 sectors, whose final sample represented 233 organisations. In order to validate the structural and measurement model, the authors applied the partial least squares structural equation modelling technique in the strict rigour of the confirmatory algorithm.

The validated research model demonstrates the value flow through technical cycles. Moreover, it shows the crucial role of the competitive criteria in the value stream through direct, moderate and indirect effects by influencing the relationship between technical cycles and captured and shared values. Finally, the study fills the gap for quantitative studies in the circular economy field.

From a practical perspective, this study contributes to structuring circular business models more robustly, by understanding the influence of competitive criteria (cost, quality, flexibility and delivery) on the conversion of operation strategy in the implementation of the technical cycles in the circular economy context. It contributes to decision-makers, in deciding on which competitive criteria to invest more, which brings more consistent results for technical cycle implementation. It also confirms the importance of partnerships, demonstrating how value cascades from the company through the value network.

As far as is known to date, this is the first study investigating the influence of competitive criteria in the circular economy context. Furthermore, it sheds light on the direct and indirect effects of the technical cycles on value captured by organisations and flow shared value with other players.

The coordination among the various entities such as the military, government agencies, civilians, non-governmental agencies, and other commercial enterprises is one of the most challenging aspects of managing the humanitarian supply chain. Blockchain technology (BCT) can facilitate coordination, but the cost and other hindrances have limited their application in disaster relief operations. Despite some studies, the existing literature does not provide a nuanced understanding of the application of blockchain technology to improve information alignment and coordination. Motivated by some recent examples where blockchain technology has been used to trace and mobilize resources in the form of funds and materials from the origin to the destination, the authors develop a theoretical model grounded in the contingent resource-based view.

To empirically validate the model and test the research hypotheses, the authors gathered cross-sectional data using a structured pre-tested questionnaire. In this study, the authors gathered our responses from international non-governmental organizations from twenty-four countries. The authors performed the statistical analyses using variance-based structural equation modeling (PLS-SEM) with the help of commercial software (WarpPLS 7.0).

The findings of the study offer some useful implications for theory and practice. The results obtained through statistical analyses suggest that the BCT significantly affects information alignment and coordination. However, contrary to popular beliefs the study suggests that intergroup leadership has no significant moderating effect on the paths joining BCT and information alignment/coordination. Moreover, the authors found that the control variable (interdependence) significantly affects the information alignment and coordination further, which opens the room for further investigation.

The result of the study offers some useful guidance. Firstly, it suggests that humanitarian organizations should invest in BCT to improve information alignment and coordination which is one of the most complex tasks in front of humanitarian organizations. Secondly, intergroup leadership may not have desired influence on the effects of BCT on information alignment/coordination. However, the interdependence of the humanitarian organizations on each other may have a significant influence on the information alignment/coordination.

The study offers some useful implications for theory. For instance, how BCT influences information alignment and coordination was not well understood in the context of humanitarian settings. Hence, this study offers a nuanced understanding of technology-enabled coordination in humanitarian settings.

The research concerning brand credibility of charity brands is scantly examined. The purpose of this paper is to examine the moderating role of brand credibility within the customer-based brand equity model to investigate donor perceived brand equity of charity brands.

In a cross-sectional research design, a survey-based research strategy is followed to collect data from 448 active Muslim donors in Pakistan. The collected data are analysed by employing confirmatory factor analysis based on Smart PLS 2.0.

The results indicate that donor perceived brand association, brand awareness and brand loyalty strongly relate to perceived brand equity of charity brands. The brand credibility moderates the relationship between perceived quality, equity and brand loyalty, and equity paths.

The charity brands need to focus on building a strong brand image and reputation to uplift brand credibility which can be achieved by offering training programmes addressing various social causes such as HIV and Cancer prevention.

The proposed moderating effects of brand credibility and its application to charity brands operating in an Asian Muslim country context are unique products of this study.

The purpose of this paper is to highlight the potential of a qualitative middle-range research approach to contribute to the advancement of operations management (OM) field.

–To better signify such contribution, it takes insight from Merton's (1968) notion of middle-range theory as a means to create pathways of propositions that link substantive concepts and practices of OM in both context-specific and context-free operational environments.

The paper brings to the fore the argument that achieving the primary objective of filling the “theory-methods” void in OM can be achieved through adoption of a qualitative middle-range approach.

The originality of this paper hinges on the premise that theory-oriented qualitative field research that is able to incorporate experiences of different stakeholders of the OM intervention is highly likely to benefit OM theory advancement as well as OM practice.

Curtailing the adverse environmental impacts of the construction sector is one the major challenges of the twenty-first century. However, despite the significance of this problem, the limited efforts so far to tackle the negative impacts associated with this particular sector have been largely fragmented and disjointed. Given that the net green outcome of a construction project is the sum total of the efforts undertaken at the various supply chain stages (from the initial design to the end-of-life demolition) by different stakeholders, the green supply chain management (GSCM) approach is seen as a way forward toward streamlining the fragmented efforts at greening the sector. This forms the motivation of the present work, and this paper aims to develop, validate and apply a multi-dimensional GSCM framework for the construction sector.

A comprehensive GSCM assessment framework consisting of nine constructs (external and internal drivers; external and internal barriers; core and facilitating GSCM practices; economic, environmental and organizational performance implications) and their underlying factors was developed through an extensive literature review. Using data collected through a structured questionnaire, the framework was validated, and the relevance/appropriateness of each construct and its underlying factors, along with the hypothesized relationships between the constructs, were assessed separately for each supply chain stakeholder.

The findings confirm the validity and reliability of the constructs and their underlying factors as well as the assessment framework. In general, the implementation of green practices has had a positive impact on the environmental, economic and organizational performance for all stakeholders, while the extent of the green practices implemented depends on the relative strength of the drivers and barriers.

This study fills a gap in the literature about applying/implementing GSCM in the construction sector.

The findings provide practitioners, policy makers and organizations associated with the UAE construction sector, as well as the construction sector in general, insight into all key aspects of GSCM.

A comprehensive survey-based assessment of GSCM for the construction sector has not been previously attempted and constitutes the novelty of this work.