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This study aims to explore differences in the usability of the Google Drive application based on demographic characteristics, computer skills and use frequency of Google Drive among public library users of Lahore.

The study adopted a quantitative approach and survey-based research method to achieve the study's objectives. The cloud usability model (user perspective) has been used as a theoretical lens to guide the study objectives. It comprises five dimensions of usability – capable, personal, reliable, valuable and secure.

The findings of the study revealed that the usability of Google Drive varied statistically significantly on the basis of depending on the respondents gender, age, academic qualification, computer skills and Google Drive use frequency.

It is a valuable study since it and adds knowledge to existing literature and has implications for practice.

The findings might be helpful for cloud support teams including Google Drive as they can notice the demographic and other differences among users' perceived usability of Google Drive and can enhance certain features of usability which leads attributes to increase its usage among users.

Companies are often accused of using sustainability disclosures as public relations tools to manage financial and non-financial stakeholders' impressions. The purpose of our study was firstly to determine how comprehensive the human rights disclosures of a sample of large international companies were and secondly, whether different narrative styles are associated with levels of disclosure to manage readers' impressions about the company. We analysed the public human rights disclosures for 154 large, international companies obtained from the UN Guiding Principles Reporting website. On average, companies complied with only one-third of the UN Guiding Principles Reporting Framework criteria. Communication about policies has the highest compliance, whilst communication about determining which human rights aspects are salient to the company, remedies for transgressions and stakeholder engagement have the lowest disclosure. When we split the sample between high disclosure and low disclosure companies, we found that the readability of the human rights disclosures is exceptionally low and even more so for low disclosure companies. Low disclosure companies used words implying Satisfaction significantly more than high disclosure companies, which provides some support for suspecting that low disclosure companies practise impression management by only presenting a ‘rosy picture’, as well as obfuscation via low readability. We add to the literature on impression management by large corporations in their sustainability reporting, and specifically human rights disclosures, by revealing how the interplay of low disclosure, low readability and overuse of words signalling Satisfaction contributes to impression management, rather than sincere attempts at accountability to all stakeholders.

Digitalisation has become closely related to various economic sectors in terms of economic impact and discovery of new technologies. In this regard, this study aims to examine the relationship between the digital economy, as measured by four proxies (infrastructure, empowerment of society, technological economic growth and digitalisation development), and the productivity and monetary system of Oman from 1985 to 2019.

The autoregressive distributed lag methodology and diagnostic tests were used to increase the robustness of findings.

The analysis showed significant positive long-run relationships between infrastructure (measured as the number of fixed telephone subscriptions), technological economic growth (measured as medium- and high-tech exports as a percentage of manufactured exports) and the monetary system. There was also a significant negative short-run relationship between digitalisation development, measured as the number of individuals (percentage of the population) using the internet, and the monetary system. Furthermore, there were significant positive short- and long-run relationships between digitalisation development and productivity. Only short-run relationships were identified between empowerment of society, measured as the number of mobile cellular subscriptions, and productivity.

The conclusions support the paradigm of diffusion of innovation theory, which aims to understand the use of modern technologies to obtain the maximum economic benefit, and show both the dark and bright sides of technology. Furthermore, the effect of the digitalisation economy paradigm on productivity should be determined by increasing logistical services. This will support the growth of foreign and domestic investments and promote cooperation between the public and private sectors, thereby achieving digitalisation in Oman and enabling reflection on the country’s monetary policy development and economic growth.

This paper aims to determine the most practically applicable color-difference formula for yarn-dyed fabrics woven from warp and weft yarns in different color depths and to establish color-difference tolerance for perceptibility by evaluating yarn-dyed fabrics visually and instrumentally.

A total of 108 sample pairs were evaluated by a panel of 13 observers with perceptibility method under three typical light sources (A, D65 and cool white fluorescent). The data sets were statistically analyzed by the homogeneity of variance test (F-test), analysis of variance, standardized residual sum of squares and performance factor/3.

Light sources had a slight influence on the visual assessments of yarn-dyed fabrics. Among the eight color-difference formulae for measurements of yarn-dyed fabrics, CIEDE2000(2:1:1) outperformed all other tested formulae, and the color tolerance for the perceptibility of CIEDE2000(2:1:1) was 0.62. When the homochromy index (K) of warp and weft yarns of yarn-dyed fabric was lower than 1.25, the color difference based on ΔE*00(2:1:1) between the two samples was acceptable in terms of the color tolerance for perceptibility (i.e. 0.62).

The warp and weft yarns in different color depths could be woven in fabric with a relatively uniform color appearance.

This study could contribute to cost savings by reusing disqualified dyed yarns during the weaving manufacturing process.

This study examines opinion leadership's personal and social characteristics to see which one is more effective in opinion leadership in four different industries: fashion, travel and tourism, wellness and book and literature. The specific subject of this investigation is how largely openness, exhibitionism and competence in interpersonal relationships and status and attitude homophily affect the opinion leadership and the decision-making of opinion leaders' followers.

The proposed model was tested with the questionnaire shared via stories featured on Instagram among followers of four micro-influencers in different industries. For the purpose of testing the offered hypotheses of this study, the partial least squares method was used.

The findings show that openness, exhibitionism and competence in interpersonal relationships have a substantial effect on opinion leadership. It was also evident that status and attitude homophily impact opinion leadership. The model supports the effect of both personal and social characteristics on opinion leadership; however, based on the results, the effect of personal characteristics on opinion leadership is more remarkable, both in a direct relationship and through the mediating role of para-social interaction.

This study is novel in categorizing opinion leaders' attributes in two different extents of personal and social characteristics. The authors defined a model of the effectiveness of each personal and social characteristic on opinion leaders. The model investigates whether the personal or social characteristics have the most effect on opinion leadership, particularly with the mediating role of para-social interaction.

This study aims to explore the mediating role of digital technologies-based supply chain integrating (SCI) strategies on the agri-supply chain performance (SCP) and firm performance (FP). This research has introduced recently emerged digital technologies such as Internet of Things (IoT). Further, based on theoretical support and an extensive literature review, this research has proposed some hypotheses, which have been quantitatively validated for their significance.

A conceptual model was formulated based on an extensive literature review. Data for this research were gathered from a survey completed by 119 respondents from different departments of agri-firms. Further, partial least square (PLS)-based structured equation modelling (SEM) was used to test the proposed hypothetical model.

The results confirm that IoT-based digital technologies and supply chain processes (organization integration [OI], information sharing and customer integration [CI]) have a significant positive correlation. Furthermore, supply chain practices are positively associated with SCP. Finally, it has been found that FP is positively impacted by SCP.

This research is used to analyse the mediating impacts of digital supply chain processes as a linking strategy for SCP and FP. For practical purposes, this research provides investment decisions for implementing digital technologies in SC strategies. The findings have proposed implications for managers and practitioners in agri-firms based on existing theories: contingency theory (CT) and relational view theory. Also, this study suggests the deployment of smarter electronically based tags and readers, which improve the data analytics capabilities based on auto-captured data. Thus, the availability of quality information improves the data-driven decisional capabilities of managers at company level.

This is a unique and original study exploring the relationship between digitalization, resilient agri-food supply chain (AFSC) management practices and firm performance. This research may be extended to other industries in view of the results from SCP and impact of digitalization.

This work aims to examine the communication on Twitter of the most responsible companies in Spain to identify the topics covered on corporate social responsibility (CSR) from the perspective of happiness and social marketing. In addition, the profiles of the messages that show an association with the impact of the messages have been identified.

An empirical analysis of the Twitter posts of Spain's ten most responsible companies has been carried out. The methodology of this work combines data mining techniques, sentiment analysis and content analysis, both from a quantitative and qualitative approach.

The results show that most brand tweets do not deal with CSR-related topics. The topics they address the most are those related to sports and the weather. From the perspective of social marketing, conversational-type tweets are the most published and have achieved the most significant reaction from the public. In addition, four messages' profiles have been identified based on the company and the emotional connotation associated with the impact, giving rise to more outstanding promotion of social causes.

Our main contribution to this work has been to value positive communication and social marketing to promote better CSR on Twitter. In this sense, it has been verified that there is a relationship between the public's reaction, the affective connotation and the company that issues the messages.

VINE Journal of Information and Knowledge Management Systems (VJIKMS) is one of the oldest and leading journals in the knowledge management (KM) field. The purpose of this study is to conduct bibliometrics analysis of publications published in VJIKMS for the past two decades. For doing this, this paper covered the past two decades of publications and carried out a science mapping analysis of publications.

The methodology included bibliometrics and the science mapping analysis process. This paper imported the bibliographic information of VJIKMS from the abstract and citation database Scopus. Through bibliometrics method, this paper examined the citation results, author productivity, authorship pattern, research collaboration and other parameters of the selected publications. Afterward, this paper used VOSviewer software to carry out the science mapping of bibliometric networks.

The findings showed that VJIKMS published 718 publications during 2000–2020, which got cited 4,311 times (6 times per article) till date. Joint authorship and international collaboration have been increasing where 1,417 authors from 66 countries have published. The USA, the UK and Iran lead the KM publications in this journal. Nonaka’s publications and Journal of Knowledge Management (JKM) are highly cited references and journals in the VJIKMS.

The findings of this study would help the KM students, researchers and practitioners to see the diffusion of KM globally, what are the promising areas to work and helps to know the various patterns of publications if they aim to publish in VJIKMS.

This is the first time a bibliometric analysis has been conducted to analysis of research publications published in VJIKMS. This presents a comprehensive analysis of publications between 2000 and 2020.

Based on sensory marketing theory and cognitive appraisal theory, this study investigates whether and how the background visual complexity of live-streaming affects consumers' purchase intention and reveals the underlying mechanisms through which background visual complexity influences consumers' purchase decisions.

The experiment was conducted with 180 college students, using eye-tracking technology to explore the impact mechanism of live background visual complexity on consumers' purchase intention, considering three types of background visual complexity (high vs medium vs low) and two levels of need for cognitive closure (high vs low).

Firstly, the background visual complexity of live-streaming positively influences consumers' purchase intention by eliciting positive emotions (pleasure and arousal), and the relationship between consumer emotions and purchase intention is nonlinear. Secondly, need for cognitive closure to significantly moderate the influence of background visual complexity on purchase intention.

The limited sample size makes it difficult to generalize to other consumer groups. Also, the study only focuses on one visual factor, lacking comprehensive analysis from multiple perspectives.

It is recommended that live e-commerce companies optimize the visual design of live-streaming backgrounds and identify consumer traits to match the visual complexity with consumers' level of need for cognitive closure, thereby stimulating positive emotions and facilitating more satisfactory shopping decisions.

This paper addresses an interesting and practical issue related to the effects of live background visual complexity on consumers' purchase intention.