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This study examines the semi-strong market efficiency of the Indian agricultural commodity market in light of market reforms and policies. This study investigates whether the market reforms have boosted the speed of price adjustment and influenced the market quality.

The study used the daily data of nine agricultural commodities. To precisely capture the effects of market microstructure changes, this study split the whole data into pre- and post-ban and pre- and post-reform eras. To ascertain the velocity of price adjustment, the authors used the ARMA (1,1) model, and the ADD VRatio was employed to identify the price movement on a specific day.

This study found that full incorporation of information happens sometimes. The authors noticed no gradual progress in the quickness of price adjustment. Since both methods suggested the same result for the period, the authors confirm that market microstructure changes do not enhance market quality.

This research has implications for academicians, policymakers and market players.

The paper has twofold novelty. First, this is a contemporary topic, and very few studies have been done in the Indian agriculture context. Second, the study has implications for policymakers and government because it highlights the effects of structural changes on market quality and market efficiency.

This study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further tests the hindering effect of human facial presence in review photos on review usefulness.

Based on review samples of restaurants in a tourist destination Las Vegas, this study used an integrated method combining a machine learning algorithm and econometric modeling.

Results indicate that the number of UGPs depicting a restaurant’s food, drink, menu and physical environment has positive impacts on perceived review usefulness. The quality of online review UGPs can also enhance perceived review usefulness, whereas facial presence in these UGPs hinders perceived review usefulness.

Findings suggest that practitioners can implement certain tactics to potentially improve consumers’ willingness to share more UGPs and UGPs with higher quality. Review websites could develop image-processing algorithms for identifying and presenting UGPs containing core attributes in prominent positions on the site.

To the best of the authors’ knowledge, this study is the first to present a comprehensive analytical framework investigating the enhancing or hindering roles of review photo quantity, photo quality and facial presence in online review UGPs on review usefulness. Using the heuristic-systematic model as a theoretical foundation, this study verifies the additivity effect and attenuation effect of UGPs’ visual elements on judgements of online review usefulness. Furthermore, it extends scalable image data analysis by adopting a deep transfer learning algorithm in hospitality and tourism.

This study is based on the heuristic-systematic model (HSM) to dynamically examine the effect of review variance on sales and the boundary conditions that mitigate this effect.

Based on the theoretical domain of HSM, a conceptual model is proposed that analyzes the nonlinear relationship between review variance and sales and the interaction and motivation factors that moderate these relationships. Review data from websites targeting the film industry in the USA and South Korea (Korea) were collected to empirically analyze the authors' hypothesis, and panel regression analysis was used for confirmation.

Moderated by interactive and motivational factors, review variance exhibits an inverse-U-shaped relationship with review variance. Specifically, as an interaction factor, review valence and owned social media (OSM) resulted in positive interaction effects, and as a motivation factor, the number of alternatives exhibited a positive interaction effect with review variance. The effect of review variance was less pronounced in the USA than in Korea.

The study outcomes reveal a nonlinear relationship between review variance and sales, thus supporting the contradictory findings of previous studies. This study contributes to the literature by using the HSM as a theoretical framework to verify various HSM mechanisms using online review data. This exploratory study also contributes to the international marketing literature by showing that the effects of review variance vary across cultures.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

The purpose of this paper is to shed light on the protection motivation theory’s (PMT) maladaptive coping response to anti-Covid-19 preventive persuasive appeals. PMT is based on coping appraisal that may lead to either an adaptive- or a maladaptive coping response. It has been suggested that the maladaptive coping response is not sufficiently investigated and can be represented by individuals’ resistance to anti-Covid-19 persuasive messages. It has been also supposed that resistance is predicted and modeled through a set of cognitive, affective and individual factors such as information processing style, fear arousal, gender and coping self-efficacy.

An experiment and a survey were conducted online on a random sample of 290 individuals. The sample was divided into two groups, each of which was exposed to an anti-Covid-19 persuasive message.

The findings show that resistance to anti-Covid-19 persuasion is not directly predicted by the individual’s exposure to the message, but channeled through an affective and a cognitive process. It was also reported that resistance is predicted by both the reflective and the nonreflective information processing styles, which are in turn predicted by a high versus a low fear arousal. Fear arousal level was shown to be moderated by gender and coping self-efficacy.

This research brings additional insight to the PMT in so far that it highlights the maladaptive coping response through resistance to persuasion in a pandemic context.

Capturing consumers’ notice by differentiating a product from competing brands in attaching an affixed label featuring product claims, as an alternative front-of-package (FOP) cue, has been widely used in fast-moving consumer goods retailing. This paper aims to apply perceived product newness as the basis for examining how affixed labeling, manipulated in terms of design features and message claims, can impact consumer evaluation.

Four between-subjects experiments examined the persuasive impact of the use of affixed labels. In particular, how product evaluation, in response to affixed labeling, varied as a function of its shape (Study 1a), location (Study 1b), the combination of shape and location cues (Study 1c) and the strength of message claims conveyed by such labels (Study 2). Perceived product newness is assessed as a mediator for all studies.

The results show the power of affixed labels in persuasion. Specifically, consumers tend to perceive the item as newer, achieving persuasion, when the affixed label has a distinctive shape or location. Yet, incorporating several unusual design components fails to trigger an elevated result if a singular visual stimulus serves as a cue for an item’s newness. Further, the strength of claims highlighted in an affixed label correlates to positive impact on evaluations.

This study offers an empirically based examination of consumers’ responses to affixed labeling and identifies perceived product newness as a mediator of the observed effect.

A salient, affixed label enables a credible cue for product newness, therefore, driving evaluation.

This paper contributes to understanding the influence on the persuasion of FOP labeling, with salience to retail promotional and sales messaging tactics.

When companies face a crisis, they sometimes deliver blame-shifting communications, trying to shift blame onto another actor to protect their reputation. While previous research has considered how different features of the message affect its persuasiveness, little is known about whether specific senders can blame more effectively. This paper aims to contribute to research in this domain through an investigation of the sender’s social perception as a critical moderator to the persuasiveness of blame shifting.

The authors conduct four between-subjects scenario experiments to test the research hypotheses. In each experiment, participants are presented with a realistic crisis scenario and the crisis communications delivered by the company. The authors assess the extent to which perceptions of the sender influence the message’s ability to reduce negative word-of-mouth intentions and to increase purchase intentions.

The authors show that blame shifting is more likely to be effective when deployed by senders that are small (Study 1) or have a positive CSR track record (Study 2). Furthermore, The authors find that even large senders can successfully deploy blame shifting if they can benefit from being known for their CSR programs (Study 3). Finally, the authors show that the effect of blame shifting depends on the receiver’s level of concern about the crisis: stakeholders significantly concerned by the crisis reject blame-shifting communications (Study 4).

Further research should examine the impact of information about brand competence on blame-shifting effectiveness. Further research is also needed to explore sender effects for other defensive crisis communication strategies such as denial or the use of excuses or justifications.

The study offers critical information for marketers considering the use of defensive crisis communications strategies such as blame shifting.

The study extends the understanding of how sender effects influence blame-shifting communications. The analysis allows us to clarify why this strategy is effective for certain senders and certain receivers while, for others, it tends to backfire. Blame shifting backfires for large senders unless they can boast a strong CSR record.

Stirred by scant regard for market phases in portfolio performance assessments, the current paper investigates the active versus passive investment strategies under the bull and bear market conditions in emerging markets focusing on South Africa as a case study.

Methodologically, the measures of Jensen's alpha and Treynor index are applied to the monthly returns of 20 funds from January 2010 to June 2022.

The results are enlightening; though they contradict developed market evidence, they are consistent with emerging market trends. The findings show that actively managed funds outperform the market benchmark and passive investing style under bear and normal market conditions. Passive investment strategy outperforms both market benchmark and actively investing style under bull market conditions.

In the face of improved market efficiency, increased liquidity and recent technological impact, the findings of this study have practical application. The study outcomes should inform and update global investors, especially asset managers interested in emerging markets; however, the limitations of the study should also be considered.

While limited studies consider market conditions when comparing and contrasting the performance of passive versus active investing, such consideration is lacking in emerging markets. The current study corrects this literature imbalance.

This study aims to examine the transitions in hiring criteria by recruiting companies in top ten Quacquarelli Symonds ranked business schools in India during the pandemic.

Using an exploratory lens, an in-depth semistructured interview was conducted with 20 recruiting companies across industries and roles.

Content analysis suggests the changing preferences in hiring criteria and identifies six themes that have assumed importance during the pandemic period.

This study has implications for business school participants who need to change their preparation strategy during the placement season.

There is an opportunity for business schools to focus on these two soft skills, namely, self-management with self-discipline and oral and written communication across the platform. However, in the depth and diversity of soft skills training, there is often a shallow coverage of multiple skills. The rather focused approach to developing these two skills may go a long way in preparing work-delivery graduates who could hit the proverbial ground running as the first step into their careers.

This study contributes to hiring managers by suggesting the traits that may assume importance in the new normal where remote or hybrid working context is a necessity.

This study investigates the role of social media brand posts on customer response and whether said impacts foster engagement in brand co-creation behaviors, especially in the higher education sector. The study further explores the moderating role of a university's reputation in strengthening the effects on student response and co-creation behaviors.

The authors conducted this research by using the dual processes of the heuristic–systematic model to understand the effects of brand post‐characteristics on student’s responses and behaviors. A dataset obtained from a survey of 755 students was employed to estimate the proposed research model.

The results illustrated two key characteristics of brand posts, namely argument quality (systematic processing) and quantity of posts (heuristic processing), positively affect cognitive and affective responses, thus encouraging students to co-create value for a university brand. Moreover, our study also found that university reputation plays a significant moderating role in strengthening the relationship between recipients’ responses and co-creation behavior.

Online brand posts not only enable institutions to exchange brand information but also allow students to contribute their own resources to co-create brand value. Thus, the study findings can help brand managers successfully implement co-branding efforts and foster students in the co-creation process.