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The purpose of this paper is to share the author’s viewpoint on how to increase student response rate in course evaluation surveys.

The approach is to highlight measures which increased student response rate in online surveys of the author’s teaching evaluation at The University of the West Indies, Jamaica.

This viewpoint suggests that student response rate to course evaluation can be improved by the lecturer’s effective communication. The examples of effective communication are given in this paper.

This work will encourage the lecturers to initiate more student engagement to improve response rate of their teaching evaluation.

This methodological paper demonstrates how service firms can use digital technologies to quantify and predict customer evaluations of their interactions with the firm using unstructured, qualitative data. To harness the power of unstructured data and enhance the customer-firm relationship, the use of computerized text analysis is proposed.

Three empirical studies were conducted to exemplify the use of the computerized text analysis tool. A secondary data analysis of online customer reviews (n = 2,878) in a service industry was used. LIWC was used to conduct the text analysis, and thereafter SPSS was used to examine the predictive capability of the model for the evaluation of customer-firm interactions.

A lexical analysis of online customer reviews was able to predict evaluations of customer-firm interactions across the three empirical studies. The authenticity and emotional tone present in the reviews served as the best predictors of customer evaluations of their service interactions with the firm.

Computerized text analysis is an inexpensive digital tool which, to date, has been sparsely used to analyze customer-firm interactions based on customers' online reviews. From a methodological perspective, the use of this tool to gain insights from unstructured data provides the ability to gain an understanding of customers' real-time evaluations of their service interactions with a firm without collecting primary data.

This research contributes to the growing body of knowledge regarding the use of computerized lexical analysis to assess unstructured, online customer reviews to predict customers' evaluations of a service interaction. The results offer service firms an inexpensive and user-friendly methodology to assess real-time, readily available reviews, complementing traditional customer research. A tool has been used to transform unstructured data into a numerical format, quantifying customer evaluations of service interactions.

This paper aims to analyze the effects of web communities vs company websites in providing tactile information considering different types of product in terms of touch diagnosticity (low- vs. high-touch products).

Three experimental studies were conducted to examine the effect of online information sources (i.e. web communities vs. company websites) in providing tactile information on consumer responses, considering the moderation role of product type in terms of touch diagnosticity (low- vs. high-touch products, Study 1), the moderating role of type of information (tactile vs. generic, Study 2a); and the moderating role of need for touch (NFT) (Study 2a and 2b).

While previous research converges on the idea that the provision of a written description of tactile properties deriving from the product usage is particularly effective for products for which tactile information is diagnostic and for individuals high in NFT, the results demonstrated that the presence (vs. the absence) of the description of the tactile properties provided by web communities (vs. company websites) matters for those products for which touch is not diagnostic and for individuals low in NFT.

The findings have particular relevance for emerging brands intending to commercialize their products in the digital environment. These companies should be present in web communities to describe a product’s tactile characteristics, especially if not diagnostic.

This paper significantly contributes to a better understanding of a little studied area, namely, consumer responses toward haptic compensational strategies providing haptic cues (e.g. written description of tactile information along with pictures of products) aiming at compensating for the absence of touch, underlining the differential influence of online sources of tactile information on consumer responses across different types of products.

This paper aims to examine a two-way interaction between social influencers’ number of followers (micro vs meso) and argument quality (weak vs strong) on consumers’ self-reported and brain responses to advertising posts on Instagram. Further, drawing upon source credibility theory and contemporary theories of persuasion, the Instagram users’ perceptions of the influencer’s credibility are predicted to mediate the hypothesized effects.

Through an online (N = 192) and a lab study (N = 112), the authors examined Instagram users’ responses to an advertising post from Instagram influencers in terms of perceived source credibility and electronic word-of-mouth intention, using validated multi-item scales from existing literatures and electroencephalogram (EEG) measures. The hypotheses were tested with a 2 (type of influencer: micro vs meso) × 2 (argument quality: weak vs strong) between-subject design using mediated moderated linear regression analysis.

The results highlight that meso-influencers are perceived as a credible source of information only when their product-related post provides strong argument quality. Moreover, this process involves an increase in users’ cognitive work (measured with EEG), with possible implications on marketing communication strategies and online message design.

The limitations of the work can serve as ideas for future research. First, this study did not account for the influencer’s relevance and resonance. Second, the authors studied consumer responses to online communication produced by Instagram influencers within a single product category. Another important product type distinction that requires further attention is between hedonic and utilitarian products. Finally, the two studies only used positive review content. Further research should study how consumers evaluate the source credibility of a micro- vs meso-influencer when they are exposed to negative reviews containing weak vs strong arguments.

The results suggest that marketers should carefully consider Instagram influencers based on the trade-offs between credibility and reach. Specifically, micro-influencers are perceived as more credible sources of information than meso-influencers, which means that they have greater potential to affect Instagram users’ behavior. Moreover, the results suggest that meso-influencers should leverage argument quality to enhance their credibility and draw greater positive outcomes for the products and brands they endorse.

To the best of the authors’ knowledge, this study is the first to investigate how the interaction between the type of social media influencer and the argument quality affects consumers’ self-reported and brain responses to advertising posts on Instagram. Moreover, using neuroscience, this study aims to shed light on the neurophysiological processes that drive consumer responses to product-related communication posted by different influencer types.

The purpose of this study is to identify major themes and potential research opportunities in online and offline consumer search.

A systematic review was conducted based on 118 articles identified from prevalent journal databases. Keywords frequency analysis was carried out to identify the major themes. An inductive thematic analysis was carried out to verify the generated themes.

Results show that uncertainty, knowledge, perceived risk, price, experience and involvement are the major themes associated with consumer information search. Uncertainty, one of the major themes of offline search, has not been studied in the online search context. Similarly, the previous experience needs to be explored in the context of the offline search. Finally, potential research opportunities for future research has been summarized based on the retrieved themes.

The systematic review provides an in-depth understanding on the current research on information search literature with future research directions.

This study helps retailers to understand the key elements that motivate consumers to perform external information searches from online and offline sources and to curate targeted information provision strategies to influence purchase decisions.

Consumers with limited internet availability may access channels prior to decision-making. The themes identified in this study can aid policymakers to design affordable access to these channels.

This study adds to the sparse literature on systematic reviews on consumer search for online and offline channels.

The purpose of this paper is to demonstrate the rationale, technical framework, content creation workflow and evaluation for a multilingual massive open online course (MOOC) to facilitate information literacy (IL) considering cultural aspects.

A good practice analysis built the basis for the technical and content framework. The evaluation approach consisted of three phases: first, the students were asked to fill out a short self-assessment questionnaire and a shortened adapted version of a standardized IL test. Second, they completed the full version of the IL MOOC. Third, they were asked to fill out the full version of a standardized IL test and a user experience questionnaire.

The results show that first the designed workflow was suitable in practice and led to the implementation of a full-grown MOOC. Second, the implementation itself provides implications for future projects developing multilingual educational resources. Third, the evaluation results show that participants achieved significantly higher results in a standardized IL test after attending the MOOC as mandatory coursework. Variations between the different student groups in the participating countries were observed. Fourth, self-motivation to complete the MOOC showed to be a challenge for students asked to attend the MOOC as nonmandatory out-of-classroom task. It seems that multilingual facilitation alone is not sufficient to increase active MOOC participation.

This paper presents an innovative approach of developing multilingual IL teaching resources and is one of the first works to evaluate the impact of an IL MOOC on learners' experience and learning outcomes in an international evaluation study.

Few studies to date have explored factors contributing to the dining experience from a visitor’s perspective. The purpose of this study is to investigate whether different restaurant attributes are critical in evaluating the restaurant experience in online reviews for visitors (non-local) and local guests.

In all, 100,831 online restaurant reviews retrieved from TripAdvisor are analyzed by using domain-specific aspect-based sentiment detection. The influence of different restaurant features on the overall evaluation of visitors and locals is determined and the most critical factors are identified by the frequency of their online discussion.

There are significant differences between locals and visitors regarding the impact of busyness, payment options, atmosphere and location on the overall star rating. Furthermore, the valence of the factors drinks, facilities, food, busyness and menu found in the reviews also differs significantly between the two types of guests.

The findings of this study help restaurant managers to better understand the different customer needs. Based on the results, they can better decide which restaurant aspects should receive the most attention to ensure that customers are satisfied.

Research on online reviews has largely neglected the role of different visitation motives. This study assumes that the reviews of local and non-local restaurant visitors are based on different factors and separates them to gain a more fine-grained and realistic picture of the relevant factors for each particular group.

This study aims to use self-reported publicly available student assessment data from the time period when there was an abrupt change in instructional method at the start of COVID-19 to assess potential for differences as a result of course delivery mode.

A general linear model using 837 student evaluations from 191 US public higher education institutions investigates the impact on student performance and how performance was related to a number of covariates, namely, online experience of instructor prior to shut downs, discipline of study and size of institution.

The analysis finds an overall grade point average (GPA) increase of 0.10 (out of 4.0) associated with the shift away from face-to-face instruction. In exploring potential covariates, only institutional size was significant in explaining this increase in GPA. This supports the notion that despite hardships inherent with the abrupt switch to online education across the country that student grades as a whole did not suffer.

The source of data was self-reported. In addition, GPA is an imperfect measure of student learning. Despite this, because GPA is highly correlated with student satisfaction, retention and matriculation, it is relevant.

This study suggests that the rapid transition to online instruction did not negatively impact student performance and may have marginally increased these marks. These findings were cross-disciplinary and not influenced by the instructor’s prior online teaching experience. These findings support the idea that institutions and instructors should be more willing to use a variety of delivery modes going forward.

The data set used is uniquely large and varied in the number of institutions, professors, students and discipline. The COVID-19-induced transition from largely in-class instruction to mostly online or remote instruction allowed for a natural experiment that eliminates the sample selection problem associated with most other instructional method comparison studies.