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The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees.

Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS.

The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact.

The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage.

The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life.

This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

Based on the system of value chain theory, the purpose of this paper is to investigate the impact of social media usage on the performance and the entrepreneurial orientation of the organizations.

A total of 174 organizations responded to the survey.

The result of the study showed that social media usage has a very strong positive impact on organizations’ performance, in terms of cost reduction, improved customer relations, and enhanced information accessibility.

In the study, social media usage was categorized into three sub-constructs such as social media usage for marketing, social media usage for building customer relations, and social media usage for information search. This study investigated the usage of social media and its impact as a whole, considering all social media tools together. Finally, this study used a cross-sectional sample to collect data.

The result of the study benefits the managers to understand the various areas of organizational performance that can be improved by social media usage.

The study also provided evidence that social media usage has strong positive influences on enhancing the entrepreneurial orientation of the organizations.

This study provides a clearer idea on the real importance of social media and its benefits. This study demonstrated the various areas of organizational performance that can be improved through social media usage.

The purpose of the study is to develop a structural and a predictive model of the future purchase behavior of the consumers from value, quality and satisfaction and also finding the role of consumer loyalty in the above-mentioned model.

Based on survey and purchase data of a sample of 235 respondents, the authors have used structural equation modeling to develop a structural model and three-stage least square regression to develop and validate the predictive model.

In the structural model, the authors found that perceived service quality and network quality leads to customer satisfaction which also leads to loyalty intentions. However, neither past purchase behavior nor loyalty has significant predictive power to predict future usage. But the interaction effect of loyalty and past purchase predicts future purchase significantly.

The study went beyond structural model and developed a behavioral predictive model which can overcome self-reporting bias. Also, the study focused on the moderating role of loyalty in predicting future purchase quantity, thus contributing toward the theoretical understanding of the effects of loyalty.

Other than providing a forecasting model, the study helps the service managers to understand the importance of the relational constructs than the tangible constructs. Moreover, it also suggests optimally target the big buyers through the loyalty programs to ensure higher future revenues.

The study provides new insight on the impact of loyalty intention of consumer’s purchase behavior and shows the boundary conditions of predictive power of loyalty intention and past purchase on future purchase. Moreover, this is one of the very few studies that have focused on these relationships in Indian context.

As disruptive technologies, such as the use of artificial intelligence (AI)-enabled customer relationship management (CRM) systems, alter the processes and strategies that banks use in service delivery models, the impact of such technologies on consumer acceptance and buying behavior must continue to be examined. This research studies the impact of technology usage and acceptance of AI-enabled banking CRM systems in Nigeria on consumer buying behavior via the mediation of customer satisfaction and service quality. The study also investigates the negative impact of technology downtime, a frequent phenomenon in the emerging market, which has not, to this point, been studied on a large scale.

The authors collect quantitative data via a face-to-face administered questionnaire from four hundred customers of ten different Nigerian banks regarding their perceptions of technology use in the banking sector.

While the research finds that technology usage has positive and direct effects on service quality, customer satisfaction and consumer buying behavior, service quality was found not to have a significant effect on consumer buying behavior. The study also establishes that technology downtime has a moderating effect on technology usage, consumer buying behavior and customer satisfaction in the banking context.

Scant literature exists that explores the importance of culture in technology usage and acceptance, specifically in developing countries like Nigeria. This study explores the impact of technology usage along with acceptance in the Nigerian setting on Nigerian consumers and their resulting satisfaction. Technology usage has been known to impact customer satisfaction in various ways, but no study has looked specifically at how technology in the banking sector can further be of help or harm from a Nigerian perspective. This study explores the technology usage in banking sector of Nigeria and its impact on the consumer buying behaviour. No studies in our knowledge have been known to consider the role of technology downtime, a frequent phenomenon in emerging market, as a factor, which will affect the customer satisfaction and buying behavior. Thus, this study (1a) explores the negative outcomes of technology downtime on both service quality and customer satisfaction, (b) explores the moderating relationship of technology downtime on the technology usage and consumer-related outcomes.

According to European Union Open Internet Regulation, commercial practices of internet access service providers (IASP) should not restrict end-users’ choice regarding services, applications or contents. This paper aims to analyze the effects of Zero Rating (ZR) on freedom of choice translating this regulatory criterion into a formal expression: providing a ZR offer on a content or application provider (CAP) restricts end-users’ choice if it reduces the volume or provision of others usages.

The analysis is made in two steps. First, the authors assess the direct effect of introducing zero rating on non-ZR usages, all other things equal. Second, the paper studies the knock-on effect of ZR on IASP offers and the supply of CAP.

In the short term, zero rating does not restrict end-users’ choice increasing both ZR and non-ZR usages. In the long term, in the case of pure ZR, IASPs may adapt their offer to support ZR costs impacting negatively other usages. However, in practice, these effects are compensated or diluted by competitive forces or if the ZR traffic is small relatively to the data allowance. In the case of SD, the CAP covers the cost which prevents cross-subsidies and protects freedom of choice if SD is open to all CAPs.

The economic literature on zero rating is scarce and assesses this practice from the general economic criterion of social or consumer welfare. This paper is the first one to use economic analysis to analyze whether Zero Rating is compatible with the EU regulatory criterion of freedom of choice.

The purpose of this paper is to investigate the factors that influence Facebook usage among small and medium enterprises (SMEs). In addition, it examines the impact of Facebook usage on financial and non-financial performance of the SMEs.

Using integrated model, this study examined the influence of compatibility, cost effectiveness, interactivity and trust on Facebook usage and its subsequent impact on organizations performance. Statistical analyses were based on the data collected, through survey questionnaire from 259 SMEs in Malaysia. Partial Least Square (PLS) method was used to test the hypotheses.

The study revealed that Facebook usage has a strong positive impact on financial performance of SMEs; similarly it was also found that Facebook usage positively impacts the non-financial performance of SMEs in terms of cost reduction on marketing and customer service, improved customer relations and improved information accessibility. Additionally, factors such as compatibility, cost effectiveness and interactivity was identified as factors that influence Facebook usage among SMEs.

This study is limited in selection of samples. The sample only covered one community of SME in Malaysia which limits generalizability of the findings. This study provided a clearer idea on the real importance of Facebook and its benefits. The results would motivate and guide organizations in the adoption of Facebook for business activities. The study also has various theoretical and practical contributions.

Very few empirical studies investigated the actual impact of Facebook usage among organizations. This study investigated the effect of Facebook usage on the financial performance of the organizations which is really important to study as it reveals the exact value of using Facebook for business activities.

Social distancing is an important strategy to control the spread of the COVID-19 pandemic, so it is imperative to understand the behavioral impact of social distancing on individuals. This research studied social distancing from a cognitive appraisal of voluntary social distancing compliance (CAVSD) point of view and a non-medical perspective, specifically the psychological impact (PI) of social distancing on the usage intensity of social networking sites (SNS) during the COVID-19 outbreak in India.

The study was conducted on 477 SNS users as a full sample and groups based on age, sex and work status. The model was empirically investigated using structural equation modeling.

CAVSD was negatively associated with PI although it was not a significant predictor, while CAVSD and PI were significant predictors of SNS usage intensity; moreover, SNS usage intensity differed between groups of people.

These findings are significant for organizations, corporations and educational institutions in both the public and private sectors. There is a need to identify subsections of individuals in need of social support and relief from isolation and loneliness. Individuals are relying on social media to handle social distancing and the pandemic, and this shows up in an increase in social networking activity.

This study contributes to the existing literature by positing social networking as a basic virtual need for socialization, and social media platform assists in that. Cognitive appraisal is an important determinant of individual response.

This research aims to examine the extent of e‐marketplace usage from the buyer perspective. Three types of e‐marketplace – third party exchange, consortium exchange, and private exchange – are compared and the impact of the buyer's information technology (IT) purchasing preparedness on the extent of e‐marketplace usage is evaluated.

A web‐based survey of 359 purchasing professionals in the USA is used in the analysis of variance (ANOVA) to compare the extent of e‐marketplace usage among the three e‐marketplace types. Multiple regression methodology is also used to test the impact of IT purchasing preparedness on the extent of e‐marketplace usage.

The results indicate that there is no significant difference among the three types of e‐marketplaces in regard to the extent of current e‐marketplace usage and planned e‐marketplace usage. Additionally, IT purchasing preparedness appears to have a positive impact on e‐marketplace usage.

The research empirically confirms the positive impact of IT purchasing preparedness on e‐marketplace usage. Nevertheless, it was limited to the buyer side and did not examine the interaction of IT purchasing preparedness and other influencing factors.

The research provides useful information for companies who are using or plan to use the e‐marketplace for purchasing. It also helps market participants to choose an appropriate e‐marketplace based upon their own IT purchasing preparedness.

This research fills the gap in the existing e‐marketplace literature and provides empirical evidence for e‐marketplace usage and the impact of IT purchasing preparedness.

The purpose of this paper is to identify cross-country differences in socio-economic sustainability, which are operationalized as relative efficiency of economic and social impacts of hyperconnectivity (usage intensity of information and communication technologies (ICT) devices). The authors have a particular interest in the emerging economies because they enjoy outstanding growth rates and prospects for market expansion, and have undertaken significant economic reforms and, thus, should be expected to lead other two groups in the efficiency of transforming hyperconnectivity into sustainable growth.

The authors use canonical correlation analysis (CCA) to confirm the existence of a strong and significant relationship between hyperconnectivity drivers and socio-economic outcomes on a country level. The authors test the difference in efficiency of transforming hyperconnectivity into socio-economic sustainability among three groups of countries: advanced, emerging and developing nations using data envelopment analysis (DEA).

The findings indicate that indeed emerging economies were the most effective ones to use infrastructure and digital content followed by developing and advanced countries, respectively. However, relatively better affordability of technologies in the emerging countries did not produce as much socio-economic impact as compared with developing nations. Favorable legislative conditions and high individual ICT usage in advanced economies did not contribute much to socio-economic sustainability either.

One of the limitations of this study stems from the classification of the countries. World Economy Forum and International Monetary Fund resources are utilized for the economy categories, but their basis for classification of counties is rather subjective. Lack of existing comparative efficiency studies on a country level prevents effective benchmarking of the results.

Since the key vehicles of transforming technology into socio-economic impact are organizations, they should design and implement an appropriate organizational architecture which would facilitate this transformation in the emerging markets more effectively.

In a climate of increasing public accountability, governments have been increasingly urged to introduce good administrative practices and performance standards to enable efficient utilization of their resources and enhance social implications within and across countries.

Although the impact of ICT on macro-economic development has been previously studied, the efficiency of this impact was not. Using CCA as a complementary tool for DEA approach in this study constitutes a methodological contribution to existing DEA research, mostly done in the area of operations management. Using DEA on a country level is a novel approach which contributes to the realm of application of this methodology.

Although graphic-based emoticons in mobile instant messenger (MIM) services became an important revenue source for their service provider, empirical research investigating factors influencing graphic-based emoticon purchase from the consumer's perspective is insufficient. The authors explore how user's achieved belongingness (acceptance or rejection) affects graphic based emoticon usage motivations and its purchase intentions.

A structural model is used to examine the relationship among individual's overall achieved belongingness, motivation factors of graphic-based emoticon usage in MIM such as perceived usefulness, perceived enjoyment, perceived enjoyment for others, social norm and emoticon purchase intentions. The authors collected and analyzed survey data of 279 Korean KakaoTalk users.

The analysis shows that perceived acceptance/inclusion positively impacts perceived usefulness, enjoyment and enjoyment of others in graphic-based emoticon usage. Meanwhile, perceived rejection/exclusion positively impacts perceived enjoyment and enjoyment of others but negatively influences perceived social norms. Moreover, social norms and perceived enjoyment directly affect graphic-based emoticon purchase intentions. The authors also find that perceived enjoyment of others and perceived social norms in a serial causal order mediate the relationship between perceived acceptance/inclusion (and rejection/exclusion) and emoticon purchase intentions.

Additional research including users from other demographic groups, such as other age groups, is required to generalize our findings and to increase external validity.

Unique implications related to the role of user's achieved belongingness and perceived enjoyment of others in graphic-based emoticon usage in purchase intentions are found.

The peer review history for this article is available at: https://publons.com/publon/ 10.1108/OIR-02-2020-0036