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Extended research efforts have been dedicated to understanding how different aspects of online surveys impact the response rate and quality of collected data. With the hope to yield higher response rates, leading survey software solutions (e.g., SurveyMonkey, Qualtrics, QuestionPro) introduced a new technique of embedding a question from an online survey into invitation emails sent to the respondents. The purpose of this chapter is to examine the impact of embedded questions on survey response rate and quality. The results of two experimental studies show that respondents are more likely to respond to a survey with an embedded question compared to an email without one. No statistically significant differences were discovered regarding data quality that was assessed via survey completion rate, respondent bias, and attention check questions. The chapter provides suggestions and guidelines for increasing online surveys' response rate and quality.

The purpose of this paper is to examine the effect of smartphones and computers as web survey entry response devices on the quality of responses in different question formats and across different survey invitations delivery modes. The respondents’ preference of device and the response immediacy were also compared.

Two field experiments were conducted with a cluster sampling and a census of all students in a public university in the USA.

Device effect on response quality was only found when using computer-aided self-interviews, but not in e-mail delivered web surveys. Even though the computer was the preferred device, but the smartphone’s immediate response was significantly higher than the computer.

The sample was restricted to college students who are more proficient users of smartphones and have high access to computers. But the direct comparison in the two studies using the same population increases the internal validity of the study comparing different web survey delivery modes.

Because of the minor differences in device on response quality, researchers can consider using more smartphones for field work such as computer-aided self-interviews to complement e-mail delivered surveys.

This is the first study that compares the response device effects of computer-aided self-interviews and e-mailed delivered web surveys. Because web surveys are increasingly used and various devices are being used to collect data, how respondents behave in different devices and the strengths and weaknesses of different methods of delivery survey help researchers to improve data quality and develop effective web survey delivery and participant recruitment.

Careless responders are respondents who lack the motivation to answer survey questions accurately. Empirical findings can be significantly distorted when some respondents devote insufficient effort to the survey task, and researchers therefore attempt to identify such respondents. Many measures of careless responding have been suggested in the literature, but researchers frequently struggle with the selection and appropriate use of the available methods. This chapter offers a classification of existing measures of careless responding along two dimensions and presents a conceptual discussion of their relative strengths and weaknesses. An empirical study demonstrates how the various measures can be used to identify careless responders and how these measures are related to each other.

This special “Anbar Abstracts” issue of the Journal of Business & Industrial Marketing is split into seven sections covering abstracts under the following headings: Marketing strategy; Customer service; Promotion; Product management; Marketing research.

Surveys that collect data regarding behavior estimates are found in many fields including, but not limited to, those that conduct consumer research, health studies, sexual behavior, drug use, political polls, and many types of education studies. These studies typically use either vague behavioral quantifiers as the response set, or enumerated response sets where the respondent needs to select or tally the target behavior, or a combination of both types. This study aimed to investigate the relationship between these two methods of estimating educationally related behaviors.

Data for this study was taken from the 2010 administration of Beginning College Survey of Student Engagement (BCSSE), which is administered to incoming first‐year students. Respondents included 30,964 first‐year entering students from 81 higher education institutions in the USA. Data analysis was then carried out.

This study found that the more frequent the behavior, the shorter the time frame the respondent uses when estimating the behavior using enumerated strategies. In addition, this study showed that for many educationally relevant behaviors vague quantifiers are associated with increasing enumerated responses for the same behavior showing that two behavioral estimates are providing consistent estimations of the same behavior. Another equally important finding is that there were few meaningful group differences regarding these estimates.

Overall, the results from this study shed new light on interpreting behavior estimations using vague and enumerated responses.

Low response rates in web surveys and the use of different devices in entering web survey responses are the two main challenges to response quality of web surveys. The purpose of this study is to compare the effects of using interviewers to recruit participants in computer-assisted self-administered interviews (CASI) vs computer-assisted personal interviews (CAPI) and smartphones vs computers on participation rate and web survey response quality.

Two field experiments using two similar media use studies on US college students were conducted to compare response quality in different survey modes and response devices.

Response quality of computer entry was better than smartphone entry in both studies for open-ended and closed-ended question formats. Device effect was only significant on overall completion rate when interviewers were present.

Survey researchers are given guidance how to conduct online surveys using different devices and choice of question format to maximize survey response quality. The benefits and limitations of using an interviewer to recruit participants and smartphones as web survey response devices are discussed.

It shows how computer-assisted self-interviews and smartphones can improve response quality and participation for underprivileged groups.

This is the first study to compare response quality in different question formats between CASI, e-mailed delivered online surveys and CAPI. It demonstrates the importance of human factor in creating sense of obligation to improve response quality.

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.

Survey research of top managers is critical to addressing many contemporary research questions in the field of strategic management. Yet, the threat of low response rates has discouraged many researchers from attempting this type of work, steering the field of strategic management away from issues related to strategic process. This article provides an empirical examination of factors that determine the likelihood and quality of response to top management surveys. More generally, we advance a theoretical perspective on survey response rooted in social influence theory that should help researchers make better choices about the design of their survey questionnaires.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out 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. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Patient satisfaction is paramount to maintaining high clinical quality assurance. This study seeks to compare response rates, response bias, and the completeness of data between paper and electronic collection modes of a chiropractic patient satisfaction survey.

A convenience sample of 206 patients presenting to a chiropractic college clinic were surveyed concerning satisfaction with their chiropractic care. Paper (in‐clinic and postal) and electronic modes of survey administration were compared for response rates and non‐response bias.

The online data collection mode resulted in fewer non‐responses and a higher response rate, and did not evince response bias when compared to paper modes. The postal paper mode predicted non‐response rates over the in‐clinic paper and online modalities and exhibited a gender bias.

This current study was a single clinic study; future studies should consider multi‐clinic data collections. Busy clinic operations and available staff resources restricted the ability to conduct a random sampling of patients or to invite all eligible patients, therefore limiting the generalizability of collected survey data.

Results of this study will provide data to aid development of survey protocols that efficiently, account for available human resources, and are convenient for patients while allowing for the most complete and accurate data collection possible in an educational clinic setting.

Understanding patient responses across survey modes is critical for the cultivation of quality business intelligence within college teaching clinic settings. This study bridges measurement evidence from three popular data collection modalities and offers support for higher levels of quality for web‐based data collection.