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Purpose The purpose of this paper is to theoretically develop and empirically validate separate scales that represent a consumer’s expectations of business ethics (BE) and corporate social responsibility (CSR). Design/methodology/approach A literature review and qualitative research were conducted to generate items for the scales. Initial item reduction was performed qualitatively based on a panel of experts. A follow-up quantitative assessment using an exploratory factor analysis further reduced the items. The scales were then validated using confirmatory composite analysis with partial least squares-structural equation modeling. Findings Separate scales representing consumers’ expectations of BE and CSR behaviors were developed. The scales exhibited reliability, convergent validity, discriminant validity and external validity. Practical implications The separation of these scales into two components will facilitate more precise examination of consumer perceptions of these two components of product and brand images, and how they may impact brand attitudes and brand trust. Originality/value This is the first effort to develop separate scales for consumer expectations of ethics and CSR, and assess their impact on brand outcomes.

The recent machine learning and analytics advances in customer relationship management (CRM) technologies place new demands on marketing education and practitioners to develop the skills needed to use the technology. Compounding the issue, research on the use of technology in sales curriculum is underdeveloped. In a comprehensive review of the sales education literature, one study identified that only six articles on sales technology were published in major marketing education journals from 1979 to 2013. In an effort to bridge the gap between critical industry competencies and marketing curriculum, understanding the impact of technology use and training is important for educational planning and student development. Using a survey of 82 salespeople in the United States, the current study empirically evaluates how use of technologically advanced CRM features influences self-perception of CRM knowledge, the perception that additional technology training would be beneficial, and adaptive selling performance of sales practitioners. A majority of survey respondents in the current study cited a need for college students to receive increased exposure to advanced CRM technology training and skill development. We propose an experiential learning approach to teach marketing college students advanced CRM features to help them bolster their effectiveness and value in the workplace.

The role of marketing for consumers and businesses is rapidly evolving (Ferrell, Hair, Marshall Tamilia 2015). Indeed, the marketing function is fundamentally changing as a result of the digital transformation, data, data analytics and most recently, personal mobile devices, such as infusion software, which track time as individuals work or play, can search for local businesses or customers while in a coffee shop, send an invoice or quote from a clients office, and much more (Shah et al 2014). Marketing research design and analysis methods are also changing rapidly (Hair, Black, Babin Anderson 2019). These changes are emerging from transformations in management skills (Henke, Levine McInerney 2018; Davenport 2018), technological innovation, particularly in the digital space (Davenport 2018), and continuously evolving customer behavior (needs and expectations) (Wedel Kannan 2016). To continue being relevant, marketing research must remain as dynamic as the markets themselves.

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Data quality has become an area of increasing concern in marketing research. Methods of collecting data, types of data analyzed, and data analytics techniques have changed substantially in recent years. It is important, therefore, to examine the current state of marketing research, and particularly self-administered questionnaires. This paper provides researchers important advice and rules of thumb for crafting high quality research in light of the contemporary changes occuring in modern marketing data collection practices. This is accomplished by a proposed six-step research design process that ensures data quality, and ultimately research integrity, are established and maintained throughout the research process—from the earliest conceptualization and design phases, through data collection, and ultimately the reporting of results. This paper provides a framework, which if followed, will result in reduced headaches for researchers and more robust results for decision makers.

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