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The purpose of this study is to illustrate the influence of media coverage and sentiment about brands on user-generated content amplification and opinions expressed in social media.

This study used a mixed-method approach, using a brand situation as a case example, including sentiment analysis of social media conversations and sentiment analysis of media coverage. This study tracks the diffusion of a false claim about the brand via online media coverage, subsequent spreading of the false claim via social media and the resulting impact on sentiment toward the brand.

The findings illustrate the influence of digital mass communication sources on the subsequent spread of information about a brand via social media channels and the impact of the social spread of false claims on brand sentiment. This study illustrates the value of social media listening and sentiment analysis for brands as an ongoing business practice.

While it has long been known that media coverage is in part subsequently diffused through individual sharing, this study reveals the potential for media sentiment to influence sentiment toward a brand. It also illustrates the potential harm brands face when false information is spread via media coverage and subsequently through social media posts and conversations. How brands can most effectively correct false brand beliefs and recover from negative sentiment related to false claims is an area for future research.

This study suggests that brands are wise to use sentiment analysis as part of their evaluation of earned media coverage from news organizations and to use social listening as an alert system and sentiment analysis to assess impact on attitudes toward the brand. These steps should become part of a brand’s social media management process.

Media are presumed to be impartial reporters of news and information. However, this study illustrated that the sentiment expressed in media coverage about a brand can be measured and diffused beyond the publications’ initial reach via social media. Advertising positioned as news must be labeled as “advertorial” to ensure that those exposed to the message understand that the message is not impartial. News organizations may inadvertently publish false claims and relay information with sentiment that is then carried via social media along with the information itself. Negative information about a brand may be more sensational and, thus, prone to social sharing, no matter how well the findings are researched or sourced.

The value of the study is its illustration of how false information and media sentiment spread via social media can ultimately affect consumer sentiment and attitude toward the brand. This study also explains the research process for social scraping and sentiment analysis.

This paper examines the shopping and buying behavior of younger and older online shoppers as mediated by their attitudes toward internet shopping.

Over 300 students and staff from a US university completed a survey regarding their online shopping and buying experiences for 17 products.

The results show that, while older online shoppers search for significantly fewer products than their younger counterparts, they actually purchase as much as younger consumers. Attitudinal factors explained more variance in online searching behavior. Age explained more variance in purchasing behavior if the consumer had first searched for the product online.

The limitations of the present research are threefold. First, the sample was restricted to university faculty, staff and students. Second, a better measure of the hedonic motivation construct is needed. Third, additional independent measures such as income should be included to understand the additional demographic factors related to online purchase.

Retailing managers can make use of the results as describing multifaceted nature of online shopping and buying behavior. Age differences (in both directions) were seen for many product categories. In addition, results indicate that how one measures online shopping impacts on one's understanding of age effects on internet shopping. Age was negatively correlated with online pre‐purchase search but was positively correlated with online purchasing when pre‐purchase search behavior was taken into account.

The present study advances knowledge of the nature of the relationships among age, attitudes, and online shopping and buying behavior.

PurposeThe delivered wisdom to date has enterprise system purchase and implementation as one of the most hazardous projects any organization can undertake. The aim was to reduce this risk by both theoretically and empirically finding those key predictors of a successful enterprise system deployment.Design/methodology/approachA representative sample of 60 firms drawn from the Fortune 1000 that had recently (1999‐2000) adopted enterprise resource planning (ERP) systems was used to test a model of adoption performance with significant results.FindingsLeadership (social learning theory), business process re‐engineering (change the company not the technology) and acquisition strategy (buy, do not make) were found to be significant predictors of adoption performance (final model R²=43 percent, F=5.5, p<0.001, df=7.52), controlling for industry (manufacturing versus service), project start date and scale (sales). Electronic data interchange (EDI) usage was found to be inversely and significantly related to adoption performance which supports the notion that prior company investments in earlier generations of technology for integration might inhibit adoption of later, more radical or complex alternatives. We validated these results with a focused follow‐up study (2005) using mailed and interview protocols identical to the first questionnaire and 20 new cases of ERP deployment. We found near perfect agreement (p<0.001 binomial test) with our initial findings.Originality/valueThe “four factor” model we validate is a robust predictor of ERP adoption success and can be used by any organization to audit plans and progress for this undertaking.

Despite noted instances of organizational cronyism in public sector Higher Educational Institutions (HEIs), there is a lack of empirical evidence on its detrimental outcomes. The present investigation tested the impact of organizational cronyism on knowledge hiding via the mediating role of moral disengagement and moderating role of egoistic climate.

A multi-stage random sample was drawn from the 312 teaching faculty working in HEIs of Lahore, Pakistan in three waves. M-plus was used to validate a longitudinal moderated mediation model based on Structural Equation Modeling.

The results showed that organizational cronyism leads to knowledge hiding. In addition, it was substantiated that moral disengagement acts as a mediator in the relationship between organizational cronyism and knowledge hiding. The strengthening impact of an egoistic climate was found in the direct and indirect association between organizational cronyism, moral disengagement, and knowledge hiding.

There is a dearth of research on the consequences of organizational cronyism and the understanding of the factors that underlie this association is limited. This research has bridged this gap by investigating the role of moral disengagement and egoistic climate in linking organizational cronyism and knowledge-hiding by building on social exchange and social cognitive theory.

During the past five decades, the role of government in most developed and developing countries has increased dramatically. Governments increased their provisions of social services and welfare. Furthermore, governments have become important producers of goods and services. In addition, by using a variety of fiscal and monetary instruments governments have attempted to manipulate and influence the economy. They have also sought to guide the development of the economy in the long run through the creation of economic infrastructure and institutions.

The purpose of this paper is to propose a low carbon culture (LCC) adoption model for gaining the right carbon capabilities by integrating the dimensions of flexibility or control and external or internal of competing values framework (CVF) with that of level of carbon emission (LCE).

This study reviewed literature related to low carbon supply chain, CVF and carbon capabilities to synthesize currently available frameworks for assessing culture and carbon-related insights. Based on these insights, this study proposes the carbon culture adoption model and presents some research propositions.

This study has extended categorization of culture suggested in CVF from four categories to eight distinct categories by adding “LCE” as a third dimension. The new categories of carbon culture are: “Red,” “Antagonist,” “Obligatory,” “Early Adopter,” “Follower,” “Transitive,” “Pragmatist” and “Green.” This categorization of organizations would help in selecting appropriate low carbon practices (LCPs).

This study presents purely conceptual framework with some research propositions which needs to be empirically tested.

Organizations can formulate right policies for low carbon capabilities based on the LCC of their supply chain.

With increasing awareness about environment across stakeholders, organizations around the world are under pressure to reduce their carbon footprints. The extent of reduction in carbon footprints depends on the right capabilities across the supply chain which in turn depends on selection of the right combination of LCPs based on the supply chain culture.

The purpose of this paper is to present the state-of-the-art E-commerce logistics in supply chain management by investigating worldwide implementations and corresponding models together with supporting techniques via furniture industry.

Typical E-commerce logistics companies from North America, Europe, and Asia Pacific are comprehensively investigated so as to get the lessons and insights from these practices.

Future technologies like Internet of Things, Big Data Analytics, and Cloud Computing would be possibly adopted to enhance the E-commerce logistics in terms of system level, operational level, and decision-making level that may be real time and intelligent in the next decade.

This paper takes the furniture industry for example to illustrate the E-commerce logistics and supply chain management (LSCM). Other industries like electronic appliance industry are not considered.

Opportunities and future perspectives are summarized from practical implementations so that interested parties like E-commerce and logistics companies are able to get some guidance when they are contemplating the business.

E-commerce is booming with the development of new business models and will be continuously boosted in the near future. With large number of enterprises carrying out E-commerce, logistics has been largely influenced.

Insights and lessons from this paper are significant for academia and practitioners for considering E-commerce LSCM.

The aim of this study is to investigate technological and innovation orientation contribution to the development and sustainability of the industrial sector.

The authors gathered the perspectives of many experts who were aware enough of their company’s technical and innovation orientations to participate in this study to understand how technology and innovation orientations may affect sustainability and development. These people included the company managers, accounting department heads, IT department workers and employees in the innovation department. This was accomplished by distributing a thorough questionnaire intended to gather their perspectives.

The study’s results highlight the significant positive relationship between technological and innovation orientation. Moreover, the study demonstrates that both technological and innovation orientation were found to positively impact the sustainability and development of the industrial sector.

This study provides practical insights for policymakers, industrial managers and innovation supporters in Jordan. Managers can use these insights to reassess technology adoption and innovation strategies. Additionally, investing in staff skills and technology readiness can boost efficiency, competitiveness and long-term growth.

To the best of the authors’ knowledge, this study is pioneering research to shed light on the connection between technological orientation, innovation orientation and sustainability and development in the industrial sector, providing valuable insights for policymakers and practitioners alike.

The purpose of this study is to explore how the uptake of digital technologies influences youth entrepreneurship in Kenya.

This study utilizes 28 semi-structured interviews with entrepreneurs age 21–35 in Nairobi, Kenya. Interview transcripts were analyzed using open- and closed-coding.

Millennial entrepreneurs embrace change and challenges by harnessing mobile technologies and social media. In doing so, they are engaging in what French sociologist Lévi-Strauss called “bricolage,” or “making do with what's at hand.”

This study explores a unique segment of entrepreneurs, Millennials in Kenya and identified the ways in which digital entrepreneurship represents a form of bricolage.

The priority giving to green practices in today's competitive market has made green logistics management practices (GLMPS) a significant driver of organizational performance. The purpose of this study is to explore the influence of GLMPS, logistics ecocentricity and supply chain traceability on sustainability performance.

The study uses structured questionnaires to gather data from 274 managers of manufacturing firms in Ghana. The partial least square structural equation modeling approach is used to analyze the data to test the proposed hypotheses.

The results obtained from the analysis indicate that GLMPS positively influence social sustainability and environmental sustainability. However, GLMPS negatively influence business performance. The results further reveal that logistics ecocentricity and supply chain traceability augment GLMPS to achieve significant improvement in both business performance and environmental sustainability through the mediation effect approach.

The study proposes a conceptual framework that tests the combined effect of GLMPs, logistics ecocentricity and supply chain traceability on environmental sustainability, social sustainability and business performance from the Ghanaian perspective.