Essays on the Influence of Review and Reviewer Attributes on Online Review Helpfulness: Attribution Theory Perspective

With the emergence of digital technology and the increasing availability of information on the internet, customers rely heavily on online reviews to inform their purchasing decisions. However, not all online reviews are helpful, and the factors that contribute to their helpfulness are complex and multifaceted. This dissertation addresses this gap in the literature by examining the antecedents that determine online review helpfulness using attribution theory. The dissertation consists of three essays. The first essay examines the impact of authenticity (review attribute) on review helpfulness, showing that the expressive authenticity of a review enhances its helpfulness. The second essay investigates the relationship between the reviewer attributes i.e., motivation, activity, and goals in online reviews. The study employs various machine learning techniques to investigate the influence of these factors on reviewers\u27 goal attainment. The third essay explores how the reviewer attributes are related to the helpfulness of online reviews. The dissertation offers significant theoretical and practical implications. Theoretically, the dissertation provides new insights into novel review and reviewer attributes. The study proposes a taxonomy of online reviews using means-ends fusion theory offering a framework for understanding the relationships between different components of online reviewer attributes and their contribution to the attainment of specific goals, such as emotional satisfaction. The study also highlights the importance of understanding the motivations and activities of online reviewers in predicting emotional satisfaction and the conditional effects of complaining behavior on emotional satisfaction. The findings inform review platform owners, business owners, reviewers, and prospective consumers in decision-making through helpful reviews. To review platform owners, the findings help segregate helpful reviews from the humongous number of reviews by determining the authenticity of the review. To business owners, the findings can help in understanding consumer behavior and taking necessary actions to provide better service to their customers. To reviewers, this dissertation can act as a guideline to write helpful reviews and to determine their helpfulness. Finally, to consumers or review readers, this dissertation provides an understanding of helpful reviews, thus allowing them to take product or service purchase decisions

An Extended Model Of Review Helpfulness: Exploring The Role Of Tie Strength, Perceived Similarity, And Normative Susceptibility

Previous studies on review information evaluation focus on the important roles of two key factors namely argument strength and source credibility but pay less attention to how social influence and social relationship exert impact on this information evaluation behavior. To fill this research gap, based on the similarity – attraction theory and social capital theory, we articulate how source credibility is determined by two social relationship factors: tie strength and perceived similarity. Further, drawing upon the social influence model, we propose that the susceptibility to normative influence intensifies the impact exerted on source credibility by tie strength and perceived similarity. Also, relationships between argument strength and review helpfulness and between source credibility and review helpfulness are both moderated by normative susceptibility. A survey is conducted to test the proposed research model and the results suggest that hypotheses are supported. The results offer important and interesting insights to information systems research and practice

Consumer and staff perspectives of the implementation frequency and value of recovery and wellbeing oriented practices

Background: Despite advances in our understanding of what mental health systems and services can do to enhance recovery and wellbeing outcomes for people seeking support, there is limited evidence demonstrating that this body of work has translated successfully into mental health service practice. The Collaborative Recovery Model (CRM) is a practice framework that has been designed to support application of recovery and wellbeing oriented principles and practices within mental health service delivery. The aims of this study were to assess consumer and staff perceptions of implementation frequency during service engagement and the value of this approach for assisting recovery within a setting where the CRM approach had been adopted. Methods: The setting was a large Australian community managed mental health organisation. The study involved a cross-sectional analysis of consumer (n = 116) and staff practitioner (n = 62) perspectives. A series of paired sample t-tests assessed for differences between consumer and staff perceptions of the: (i) importance of key practice elements for assisting recovery, and the (ii) frequency that key practice elements are utilised during engagement sessions. Spearman\u27s r correlational analysis explored associations between importance, frequency and helpfulness of sessions. Results: Key practice elements of the model were applied during service interactions at a high level and perceived by the majority of consumers and staff participants as being important or very important for assisting recovery. Significant moderate correlations were found between the extent that practice elements were valued and the level at which they were applied. Higher levels of implementation of CRM practices were associated with higher ratings of perceived session helpfulness. The strongest association was between \u27encouragement to set tasks to complete between support visits\u27 and perceived helpfulness. Conclusions: Consumer and staff responses revealed that the key practice elements of the CRM were frequently implemented during service engagement interactions and were seen as valuable for assisting recovery. The level of agreement between raters suggests firstly, that the key practice elements were apparent and able to be rated as occurring, and secondly that the CRM approach is seen as responsive to consumer needs. The results have implications for translating recovery and wellbeing oriented knowledge into mental health service practice

Assessing the effect of mobile word-of-mouth on consumers : the physical, psychological and social influences

Mobile technologies enable users to discover and research products anytime, anywhere. Mobile devices allow consumers to create and share content based on physical location, facilitate seamless interactions, and provide context-relevant information that can better satisfy users’ needs and enhance their shopping experience. As consumers increasingly rely on mobile devices to search information and purchase products, they need immediate, updated, informative and credible opinions in concise forms. Meanwhile, marketers face unprecedented opportunities for mobile marketing, making ever important for them to understand the mobile word-of-mouth and its effect on the purchase behaviors of consumers on the mobile platform vs. those on other devices. Drawing from the media richness theory and the principle of compensatory adaptation, study one performs sentiment analysis of online product reviews from both mobile and desktop devices by analyzing over one million customer reviews from Dianping.com. We find that mobile reviews are naturally shorter, contain more adverbs and adjectives, and have smaller readership and less votes of helpfulness. The product ratings from mobile reviews are more polarized yet the average valence of mobile reviews is higher. By comparison, desktop reviews contain more pictures and are rated more helpful. Lastly, pricy products receive more desktop reviews than mobile ones. Study two draws from the construal level theory and posit that WOM from mobile devices reflects closer psychological distances (temporal and social), thus constitutes a lower construal level than that from desktop computers. Using a dataset of over one million product reviews from Dianping.com, we assess the value of online product reviews from mobile devices in comparison with those from the desktop computers. Our findings show that WOM is more helpful when it is socially and temporally closer to the users and this effect is amplified when using mobile devices, which bring the mental construal to a low level and make others’ opinions more relevant. Further, we show that product type moderates the effect of online reviews in that m-WOM is more influential for hedonic products and its value for the utilitarian consumption is the lowest. Study three deploys the observational learning theory to examine the effect of WOM across the mobile and desktop devices on the purchase behavior of online promotional offers. The findings suggest that the effect of WOM on the purchase of promotion offers varies significantly across the platforms, product categories, and discount rates. These findings help better understand the strengths, limitations and the effect of m-WOM as marketers attempt to offer consumers context-sensitive and time-critical promotions through mobile devices and make a significant contribution to the literature on interactive marketing. These studies render meaningful implications for theory development about the role of mobile technologies in marketing and can assist practitioners formulating effective promotional strategies through the electronic channels via mobile and desktop devices

OPTIMIZING STUDENT RETENTION: MEASUREMENT AND ANALYSIS OF STRATEGIES IMPLEMENTED WITHIN TRADITIONAL BACHELOR’S IN NURSING PROGRAMS

This dissertation is an exploration of strategies that optimize nursing student retention. While college students experience a degree of personal and social challenges toward degree completion, nursing students experience higher incidences of attrition due to the academic rigors, clinical scheduling, and high stresses of nursing programs. While few institutional contributions can address personal and social issues impacting retention, nursing programs have a unique opportunity to develop interventions to strengthen social connections to the academic institution and facilitate early connections to the profession. These professional integration factors are central domains of the Jeffreys’ Nursing Universal Retention and Success (NURS) model and have been shown to improve student retention. Despite significant research addressing student success, little describes institutional strategies known to optimize student retention, and of these strategies, which are most successful. The first manuscript, Optimizing Undergraduate Nursing Student Retention: A Concept Analysis, provided a foundation to better understand how improvements or optimal solutions could be identified. Review of literature discovered an absence of valid instruments to measure all subscales of professional integration factors; therefore, the second manuscript, Development and Psychometric Evaluation of the Professional Integration Factors Retention Strategies Survey, outlines the process utilized for scale development while the third manuscript, Optimizing Student Retention: Measurement and Analysis of Strategies Implemented within Traditional Bachelor’s in Nursing Programs, presents the primary research study examining retention strategies implemented within traditional Bachelor’s in Nursing programs. In completing this dissertation, the researcher was able to contribute to the nursing education body of research on nursing student retention

Stratford-upon-Avon College: report from the Inspectorate (FEFC inspection report; 10/94 and 59/98)

The Further Education Funding Council has a legal duty to make sure further education in England is properly assessed. The FEFC’s inspectorate inspects and reports on each college of further education according to a four-year cycle. This record comprises the reports for periods 1993-94 and 1997-98

COMPETITIVE INTELLIGENCE: IMPORTANCE AND APPLICATION IN PRACTICE

Paper represents positive effects of competitive intelligence (CI) usage in the process of strategic decision making within the company. We analyze current state of CI awareness in Serbian businesses, and influence of CI on business performance of companies operating in Serbia. Study provides empirical comparative data on competitive intelligence implementation practices in developed countries and Serbia. Survey results, based on summarising and comparative analysis of field data, indicate that there are small differences in practical implementation of CI between companies in Serbia and those in EU. We indentified differences between the CI practices in Japan and USA on one side, and EU countries and Serbia on the other. Research aim is to make an assessment of competitive intelligence systems application in practice, and to provide necessary recommendations for companies based on the “best CI practices” in most developed countries, as well as basis for future studies

TAILORING DIGITAL PHYSICAL ACTIVITY SUPPORT MESSAGES FOR WOMEN IN MIDLIFE WITH ELEVATED RISK FOR CARDIOVASCULAR DISEASE: A MULTICOMPONENT STUDY

Women in midlife (ages 40-60) are at heightened risk for cardiovascular disease (CVD). Although physical activity (PA) engagement can reduce CVD risk, few women engage in sufficient PA to receive this benefit. They cite lack of social support as a key barrier, but existing interventions that employ social support show limited effectiveness. Digital PA support messages (i.e., brief, text-based messages delivered via smartphone or other device) may be a powerful method to meet social support needs in daily life. However, women’s preferences for and responses to distinct types of messages are not well understood. The aim of this study was to examine selections of and responses to digital social support messages among women with CVD risk conditions (e.g., hypertension; N = 27, MAge = 53.3 years, MBMI = 32.6 kg/m2 ). Our findings indicate that women in this group may experience both elevated physical health risks and psychological distress (perceived stress, anxiety, depressive symptoms) that influence perceptions of support resources. Digital PA support for this population needs to account for these barriers to effectively increase PA and reduce health risk among this overburdened and at-risk group

Adapting Collaborative Learning Tools to Support Group Peer Mentorship

Group peer mentorship is a relatively new addition to the area of collaborative learning. We see an untapped potential in supporting this model of mentorship with the existing collaborative learning tools like peer review and wiki. Therefore, we proposed to use a modified peer review system and a modified wiki system. From our preliminary studies using both peer review and wiki systems, we found that participants preferred the peer-review system to the wiki system in supporting them for mentorship. Therefore, this dissertation specifically addresses how to adapt the peer review system to support group peer mentorship. We proposed a modified peer review system, which comprises seven stages – initial submission of the first draft of the paper by the author, the review of author’s paper by peer reviewers, release of review feedback to the author, back-evaluation of their reviews by the authors, modification of the paper by the author, submission of the final paper and the final stage where both authors and reviewers provide an evaluation of the peer review process with respect to their learning, their perception of the helpfulness of the process, and their satisfaction with the process. We also proposed to use our group matching algorithm, based on some constraints and the principles of the Hungarian algorithm, to achieve a diversified grouping of peers for each peer review session. With these, we conducted six peer review studies with the graduate and undergraduate students at the University of Saskatchewan and teachers in Chile. This dissertation reports on the findings from these studies. We found that peer review, with some modifications, is a good tool to facilitate group peer mentorship. An evaluation of the performance of our group matching algorithm showed an improvement over three other algorithms, with respect to three metrics – knowledge gain of peers, time and space consumption of the algorithm. Finally, this dissertation also shows that wiki has the potential to support group peer mentorship, but needs further research

Harnessing the power of the general public for crowdsourced business intelligence: a survey

International audienceCrowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-generated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI