Survey research methodology is widely used in marketing, and it is important for both the field and individual researchers to follow stringent guidelines to ensure that meaningful insights are ...attained. To assess the extent to which marketing researchers are utilizing best practices in designing, administering, and analyzing surveys, we review the prevalence of published empirical survey work during the 2006–2015 period in three top marketing journals—
Journal of the Academy of Marketing Science
(
JAMS
),
Journal of Marketing
(
JM
), and
Journal of Marketing Research
(
JMR
)—and then conduct an in-depth analysis of 202 survey-based studies published in
JAMS
. We focus on key issues in two broad areas of survey research (issues related to the choice of the object of measurement and selection of raters, and issues related to the measurement of the constructs of interest), and we describe conceptual considerations related to each specific issue, review how marketing researchers have attended to these issues in their published work, and identify appropriate best practices.
Common method bias can appear when both the independent and dependent variable is captured by the same response method. While the consequences of common method bias can be detrimental to a study's ...validity, they are, as the authors empirically show, often neglected in tourism research. The authors provide a comprehensive discussion of sources of common method bias, as well as methods to identify and control for it. They structure these controls and critically discuss the advantages and disadvantages of each. The authors develop a decision tree that features recommendations for choosing appropriate procedural and statistical controls. By doing so, they hope to spur recognition of the threat of common method bias and active management thereof in future tourism research.
With the exploding use of Internet surveys, research efforts and data quality are increasingly subject to the effects of respondents who do not give the required attention to survey questions and who ...speed through the survey, or who intentionally cheat with their answers. We investigate respondent integrity and data quality for samples drawn from a “Regular” online panel and from Amazon's MTurk. New metrics for assessing sample integrity and online data quality are introduced. Overall, MTurk respondents in both respondent groups took less time to answer questions. The non-USA MTurk group deviated most from correct answers in attention filter questions and had more duplicate IP addresses. In addition, the results from the three Internet sample sources are substantively different. The choice of an Internet survey sample vendor is critical, as it can impact sample composition, respondent integrity, data quality, data structure and substantive results.
Survey research in supply chain management has been and will continue to be an important methodology in advancing theory and practice. However, supply chain scholars have multiple, divergent views ...regarding what is acceptable in terms of survey design, especially regarding respondents. We build on insights and commentaries provided by JSCM associate editors to develop and share general guidelines we will use during our tenure as editors to consider the rigor of survey research designs. We also outline ways that survey designs for supply chain research can be strengthened. The aim of this editorial was to clearly communicate expectations to the JSCM community, so that authors and reviewers can be more successful in advancing the theory and practice of supply chain management.
Innovation is the key to organizational survival and therefore the study of processes that support innovation should be of interest to researchers and practitioners alike. Schein's multi-layered ...model of organizational culture offers a useful framework for thinking about processes that foster innovation. A defining characteristic of the model is the subtle but important distinctions between the varied “layers” of organizational culture (i.e., values and norms, artifacts and behaviors). The basic assumption of this study is that Schein's model offers a tractable explanation of cultural processes that support organizational innovation, especially in service firms. Despite the intuitive appeal and practical value of Schein's conceptual framework, empirical research in relation to the model is limited. This paper develops a rationale for an empirical model based on Schein's conceptual model; the study reports a test of an empirical model. Data collected from approximately 100 principals of law firms provides a suitable empirical context for a test of the model. The findings generally support the hypothesized relationships. A key result is how layers of organizational culture, particularly norms, artifacts, and innovative behaviors, partially mediate the effects of values that support innovation on measures of firm performance. The findings have implications for theory and practice, especially in relation to building an organizational culture within professional service firms that fosters innovative behavior.
•The integrative, focused, or hybrid approach are suggested implementation methods.•Faculty consider developing students’ analytic mindset as the most important topic.•Faculty support a hybrid ...approach to integrating data analytics.•Faculty respond that data analytics should be presented in upper-level coursework.
Understanding how to use data to formulate and solve business problems provides an opportunity for the accounting professional to become a forward thinking strategic partner in the organization. The challenge for accountants is to develop the skills needed to extract value from data through advanced analytics. The challenge for accounting academic departments is determining the data analytic skills and tools that are relevant to the accounting profession and how and when to incorporate those topics into an already full curriculum. This is especially true for accounting programs that have separate AACSB accreditation, given that Accreditation Standard A7 requires universities with separate accounting accreditation to include content and learning objectives associated with data analytics and information technology skills. To address the challenges, we propose three data analytic implementation methods: a focused approach, integrated approach, and a hybrid approach. We present the results of a broad exploratory survey of accounting faculty regarding which data analytic skills and tools should be taught and how, when and where these topics should be provided to accounting students. We find support for a hybrid approach; whereby accounting programs include both a stand-alone course emphasizing data analytic competencies and accounting courses with data analytic competencies ingrained. We conclude with a discussion of the support for and limitations of each of our proposed implementation methods.
This article investigates in two ways the use and reporting of marker variables to detect common method variance (CMV) in organizational research. First, a review of 398 empirical articles and 41 ...unpublished dissertations that employ marker variables indicates that authors are not reporting adequate information regarding marker variable choice and use, are choosing inappropriate marker variables, and are possibly making errors in their assessment of CMV effects. Second, two data sets are presented that investigate the properties of six prospective markers to assess the degree to which they capture specific, measurable causes of CMV and the conclusions these markers produce when applied to substantive relationships. Results from the review and empirical investigation are used to expand the set of conditions scholars should consider when determining whether to employ a marker technique over other alternatives for detecting and controlling CMV and how best to do so.
Although the importance of integrating different Green Supply Chain Management (GSCM) activities has been highlighted in the literature, the potential interdependencies between these practices and ...their performance impacts have not been investigated. The purpose of this study is to examine the collective impact of internal and external GSCM practices on two aspects of environmental performance: environmental impact and environmental cost savings. GSCM is proposed as a collective competency, combining four distinct, but interrelated, sets of practices: environmental management systems, eco design, source reduction and external environmental practices. Using survey data from 138 Omani manufacturing firms and Structural Equation Modelling, we find strong empirical support for the complementarity of GSCM practices. We find a strong positive relationship between the level of collective GSCM competency and the environmental impact achieved. Our findings support the belief that complementarities between GSCM practices lead to better performance. Managers should therefore focus on implementing bundles of GSCM practices rather than searching for individual best practices. We find an indirect, mediated influence on environmental cost savings, which is consistent with previous results in other emerging market contexts.
•We show that different green supply chain management practices are complementary.•We use structural equation modelling to analyze survey data from Omani manufacturing firms.•A bundle of practices better explains environmental costs and performance.•Managers should implement sets of practices, not individual best practices.
The origins of supplier diversity in the U.S. can be traced back to the Civil Rights Movement in the 1950s and 1960s, with legislations promulgated and agencies established to facilitate market ...participation of many groups. Since that time, companies have been incorporating diverse supplier businesses into their procurement strategy and supplier selection decisions. However, how buying companies manage diverse suppliers in supplier diversity programs is under-researched. This research takes the perspective of a diverse supplier and investigates how the diverse supplier perceives the relationship with the buyer. Drawing on justice theory, the impact of the diverse supplier’s perception of the buying company’s justice behavior (distributive, procedural, interpersonal, and informational justice) on the supplier’s commitment to, and investment in, the diverse supplier-buyer relationship is investigated. Survey data from 131 women-owned businesses were used to test theoretically derived hypotheses. Analysis shows that perceived buyer distributive justice and interpersonal justice positively affect supplier commitment, and perceived buyer informational justice positively relates to diverse supplier investment in the relationship. Perceived buyer procedural justice, however, has a negative effect on diverse supplier commitment. Diverse supplier commitment and supplier investment positively influence the diverse supplier’s relationship performance. The results contribute to a nuanced understanding of different justice dimensions and offer managerial insights to buying companies on better managing diverse supplier-buyer relationships to increase inclusivity in the supply chain.
•The way in which buying companies manage diverse suppliers in supplier diversity programs is under-researched.•Diverse supplier's perception of buyer justice behavior plays an important role in the diverse supplier-buyer relationship building.•Diverse suppliers' perspectives merit more attention and can provide insights into the efficacy of supplier diversity initiatives.
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