Search results

This purpose of this paper is to develop and examine a theoretical framework for evaluating role of corporate social responsibility (CSR) in influencing millennial fast food consumers’ purchasing behavior. It also aims to help business strategists to leverage marketing strategies to achieve a competitive gain.

To examine the proposed framework through the partial least squares structural equation modeling (PLS-SEM), the authors collected data through survey. They also evaluated the proposed framework through the multi-group analysis and the importance-performance map analysis (IPMA).

Findings suggest that CSR alone is unable to influence millennial fast food consumers’ purchase intention. Therefore, fast food business strategists should communicate CSR activities by simultaneously focusing on affective identification and satisfaction to achieve the objective. IPMA analysis shows that, among all the CSR indicators, fast food restaurants’ responsible behavior and their concern with respect to the environment create the most impact on millennial fast food consumers’ mindset.

For fast food business strategists, the findings of this research provide a strategic blueprint in terms of using CSR as a way to foster relationships with the millennial fast food consumers, thus creating a competitive advantage in the market.

Anchoring in the theoretical framework, this research contributes to the extant literature by providing a critical evaluation of how to influence millennial fast food consumers’ purchase intention from a more systematic perspective. This research also offers fast food marketing managers a strategy by leveraging their initiatives for a particular customer segment through the IPMA at both the construct and indicator levels.

The purpose of this paper is to propose and test a healthcare framework of service quality, perceived value, and satisfaction in Ghana. More specifically, this study investigates the role and effect of service quality on patient satisfaction and perceived value in Ghana’s healthcare delivery.

Data were gathered through surveys administered to 113 healthcare patients in Ghana. partial least square-structural equation modeling analysis was used to empirically test the research model.

Results show healthcare quality significantly influences satisfaction and perceived value of healthcare delivery. Additionally, perceived value’s impact on satisfaction and behavioral intention shows that increasing perceived benefits while reducing perceived costs leads to repeat behavior and paves the way for retention strategy for healthcare management.

This study yields a series of limitations in its results and conclusions. These limitations and future research are discussed in Section 7 of the study.

This study contributes to the literature by examining the effects of healthcare service quality on patient satisfaction and perceived value, determining the effect of healthcare service quality on patients’ behavioral intention, and testing the proposed framework in Ghana, a fast growing and economically liberalized emerging country in Sub-Saharan Africa.

This paper posits, develops and tests the effects of general environmental awareness factors on consumers’ intentions in the Environmental Awareness Purchasing Intention Model. Environmental awareness is tested within the context of purchasing vehicles and, thus, vehicle relevant factors (perceived quality and self-image) are also included. Further, the purpose of this paper is to explain the relative contribution of general environmental awareness factors on purchasing intentions compared to quality and self-image.

The main thrust of the research involved a survey of 248 young automobile buyers from a large public university in Texas, USA. The data were analyzed using both multiple regression and partial least square-structural equation modeling (PLS-SEM).

Environmental attitude has a positive impact on purchasing intention, while perceived control toward environmentally responsible behavior has a negative impact. Results also show a positive impact of quality and self-image on intention to purchase environmentally friendly cars. Furthermore, the results reveal that environmental awareness factors explain less variance than perceived quality. At the same time, the results show that environmental factors, relatively, explain more variance in the decision-making process than self-image.

This is the first study to examine the relationship between general environmental awareness and the intention to purchase an environmentally friendly car. This study contributes to sustainable consumption literature in operations management. The paper also provides insights for developing managerial guidelines for car manufacturers based on the understanding of factors influencing environmentally friendly car purchasing intentions.

The purpose of this study is to extend sales control research to inside sales. Aside from a few notable exceptions (Conde et al., 2022) much of the sales control literature has focused on a single control mechanism rather than a sales control portfolio perspective. The authors add multiple layers to Conde et al. (2022) by capturing secondary operational data and manager interviews to access sales control theory in practice.

With operational data from a Fortune 100 financial services company and sales manager interviews, the authors present evidence that managers apply a portfolio of controls to ensure sales agents’ overall performance.

Findings support that cultural controls have a greater influence on overall performance than a focus solely on process and outcome controls. Inside sales managers can generate better results when they focus on creating an employee-centric culture rather than controlling sales agents with formal sales controls.

This study extends sales control research by examining inside sales managers’ formal and informal sales controls. Historically, inside sales had sales leaders balance a myriad of sales controls grounded in strict oversight. With a few notable exceptions, the limited inside sales control research provides the opportunity to display an inside sales manager’s need to jointly focus on operational results and sales outcomes, illustrating the importance of cultural controls compared to other sales process and outcome controls. This research considerably extends sales controls research by focusing on inside sales.

The purpose of this paper is to develop and examine a theoretical framework that evaluates the effects of banking consumers’ justice perception on their post-complaint mindsets. It also aims to help business strategists to customize service failure management activities to achieve a competitive advantage.

To examine the proposed framework using partial least square structural equation modeling, the authors collected data through a survey. The authors also evaluated the proposed framework through multi-group analysis and importance-performance map analysis (IPMA).

Results show that recovery disconfirmation mediates the relationship between banking consumers’ perception of justice and recovery satisfaction. Moreover, after a service failure, brand equity and loyalty mediate the relationship between recovery satisfaction and positive word-of-mouth behavior. IPMA analysis at the construct level shows that fostering the perception of recovery satisfaction is crucial for creating a positive post-failure impression in the mind of the banking consumer.

For banking practitioners, the findings of this research provide a strategic blueprint for managing service failure by developing relationships with consumers, thus creating an opportunity to gain competitive advantage.

Anchored in the theoretical framework of justice theory (Adams, 1963), expectation disconfirmation theory (Oliver, 1977) and social exchange theory (Kelley and Thibaut, 1978), the research adds to the literature by providing a critical evaluation of how to influence banking consumers’ post-complaint behavior from a more systematic perspective.

The purpose of this research is to propose and empirically validate a theoretical framework to investigate the willingness of the elderly to disclose personal health information (PHI) to improve the operational efficiency of AI-integrated caregiver robots.

Drawing upon Privacy Calculus Theory (PCT) and the Technology Acceptance Model (TAM), 274 usable responses were collected through an online survey.

Empirical results reveal that trust, privacy concerns, and social isolation have a direct impact on the willingness to disclose PHI. Perceived ease of use (PEOU), perceived usefulness (PU), social isolation, and recognized benefits significantly influence user trust. Conversely, elderly individuals with pronounced privacy concerns are less inclined to disclose PHI when using AI-enabled caregiver robots.

Given the pressing need for AI-enabled caregiver robots due to the aging population and a decrease in professional human caregivers, understanding factors that influence the elderly's disclosure of PHI can guide design considerations and policymaking.

Considering the increased demand for accurate and comprehensive elder services, this is the first time that information disclosure and AI-enabled caregiver robot technologies have been combined in the field of healthcare management. This study bridges the gap between the necessity for technological improvement in caregiver robots and the importance of transparent operational information by disclosing the elderly's willingness to share PHI.

For the past several decades, the sales control literature has focused on the outside sales context. This study aims to extend sales control research by examining formal and informal sales controls, embodied by cultural controls, used by sales managers in an inside sales context, where the sales agent’s performance focus extends beyond sales outcomes to include the influence of operational phone outcomes.

Based on 232 B2C and B2B inside sales agent survey responses, this study presents evidence that in an inside sales department, this study focuses on the congruent effect of formal sales and cultural sales controls on inside sales agent overall performance.

Based on 232 B2C and B2B inside sales agent survey responses, this study presents evidence that in an inside sales department, the operational focus of sales activities and resultant operational performance mediates the relationship between sales controls and inside sales agent sales performance, whereas cultural controls centered on maximizing inside sales autonomous motivation positively moderates the effect of operational outcomes on an inside sales agent’s sales performance.

By focusing on the tenants of an inside sales agent’s overall performance, this research provides practitioners a holistic view of the inherent conflict inside sales managers must balance between the impact of formal sales controls and the benefits of cultural controls.

By being the only study to examine sales controls in an inside sales context, with a broad definition of overall performance to include both sales and operational phone outcomes, this study extends sales control research to a new sales context. The need to jointly focus on operational results, as well as sales outcomes, illustrate the importance of cultural controls compared to other sales processes and outcome controls

The purpose of this study includes two parts. First, it introduces a machine-based method for model and instrument development and updating that integrates large sample qualitative data. Second, a new model and instrument for e-commerce customer satisfaction are developed.

The research occurs in two phases. In Phase 1, data collection occurs with a literature-based quantitative model and instrument that includes at least one qualitative scale item per construct. Data analysis of the resulting data includes factor analysis (FA) and latent semantic analysis text mining to generate an updated model and instrument. In Phase 2, data collection uses the new model and instrument. Data analysis in Phase 2 includes exploratory data analysis with FA, exploratory structural equation modeling and partial least square modeling.

As a result of the information gained by the integration of qualitative scales in the literature-based survey, the final model departs substantially from the initial research-based research model. It integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model.

The research method, as presented here, offers a strategy for integrating large scale qualitative data for refinement of models and the development of instruments. It is essentially a method of gaining the wisdom of crowds economically while simultaneously reducing the biases and laborious effort commonly associated with qualitative research.

This study aims to examine the relationship between emotional attachment (EA) and intelligent personal assistant (IPA) continuance intention. While existing theories emphasize purely rational and goal-oriented factors in terms of information technology (IT) continuance intention, this research examines how users' EA toward technology impacts their continuance intention in the absence of cognitive and habitual factors.

This study contextualizes attachment theory from the social psychology/consumer psychology literature to an IT application and formulates and tests a new model that is proposed in the context of IPA continuance. Five research hypotheses developed from contextualization and application of the theory were posited in a structural model and empirically validated using survey results from IPA users.

The results show that users' EA to IPA use significantly influences their IPA continuance intention, along with emotional trust and interaction quality with the IPA.

This study contextualizes attachment theory developed in the social psychology/consumer psychology literature to formulate and test a new model in the context of IPA continuance. This work contributes to the theoretical understanding by investigating IPA continuance intention in the absence of cognitive or habitual factors and fills a critical research gap in IT post-adoption literature. IPA is just one example of technologies to which individuals can form attachments and this research provides an important foundation for future research by positing and testing the value of EA in IT post-adoption behavior. This research also contributes to practical knowledge by inferring that IPA manufacturers, managers and vendors could extend their revenue streams by integrating product features that capture emotion.

The lack of clarity in defining data science is problematic in both academia and industry because the former has a need for clarity to establish curriculum guidelines in their work to prepare future professionals, and the latter has a need for information to establish clear job description guidelines to recruit professionals. This lack of clarity has resulted in job descriptions with significant overlap among different related professional groups. This study examines the industry view of five professions: statistical analysts (SAs), big data analytics professionals (BDAs), data scientists (DSs), data analysts (DAs) and business analytics professionals (BAs). The study compares the five fields with the unified backdrop of their common semantic dimensions and examines their recent dynamics.

1,200 job descriptions for the five Big Data professions (SA, DS, BDA, DA and BA) were pulled from the Monster website at four points in time, and a document library was created. The collected job qualification records were analyzed using the text analytic method of Latent Semantic Analysis (LSAs), which extract topics based on observed text usage patterns.

The findings indicated a good alignment between the industry view and the academic view of data science as a blend of statistical and programming skills. This industry view remained relatively stable during the 4 years of our study period.

This research paper builds upon a long tradition of related studies and commentaries. Rather than relying on subjective expertise, this study examined the job market and used text analytics to discern a space of skill and qualification dimensions from job announcements related to five big data professions.