Social media is becoming more and more popular as a medium for marketing and promotion. Banks, for example, have spent a substantial amount of time, efforts, as well as finances marketing their products. Nevertheless, figuring out how businesses may use social media marketing to reach customers and encourage them to remain loyal is really a challenge. Therefore, the study purpose is to identify as well as test the key sections of social media marketing that can anticipate improvements in customer experience. The conceptual framework was proposed using seven variables (performance expectancy, hedonic incentive, and habit) from the expanding Unified Theory of Acceptance and Use of Technology (UTAUT2), as well as interactivity, information quality, perceived relevance and purchase intention. The research data was gathered through 437 questionnaires from banks customers. The validity of the existing model and the strong impact of performance expectancy, hedonic motivation, interactivity, information quality, and perceived relevance on customer experience were significantly supported by the primary results of structural equation modeling (SEM). This research should give marketers with a lot of theoretically and practically recommendations on how to organize and conduct social media marketing effectively.

The goal of this research was to see how network site marketing (SNS marketing) affected marketing performance in terms of customer relationship management (CRM) and marketing capabilities. This research was conducted with a quantitative approach. The population in this study are all female entrepreneurs who use SNS marketing in Bali. The sample is 260 MSMEs taken by purposive sampling. The data will be analyzed descriptively and inferentially. The inferential statistic used is Structural Equation Modeling (SEM) based on variance, namely Partial Least Square (SEM PLS) with SmartPLS 3.0 program. The research findings are that SNS marketing use has a positive and significant effect on CRM capability and marketing capability, CRM capability and marketing capability have a positive and significant effect on business performance, CRM capability and marketing capability as partial mediation influences SNS marketing use on business performance. This research implies that it is expected to help MSMEs in making decisions regarding the use of SNS marketing.

The business context has been affected by the action of Covid 19, and companies must react to this new reality. The research analyzes people, processes and technology and their effect on the development of the respective business strategy in small companies in Huancayo, Peru. The study design was non-probabilistic, cross-sectional, qualitative-quantitative and explanatory in a sample of 99 business units. The analytical technique used was structural equation modeling based on PLS. The results indicate that there is a positive relationship between the processes and technology used and the implementation of actions to achieve their objectives. No significant relationship was found with people, given that in the face of the health emergency, economic paralysis, closure of markets and sectors, the companies had to make decisions and postpone concern for human resources. The coefficient of determination (R2) was 79.3%, which shows that the model presented allows predicting future results.

Indonesia is a country dominated by rural areas. Addressing rural poverty is a priority of the Indonesian government work program and an effort to achieve the Sustainable Development Goals (SDGs). One of the actual programs dealing with poverty is a digital village which is implemented in a smart village ecosystem. Since 2018, Indonesia has initiated various pilots of smart village projects. The success of a smart village is closely related to citizen science. The purpose of this research was to build a citizen science prospect model for a smart economy in a smart village ecosystem using Structural Equation Model – Partial Least Square (SEM-PLS) approach. This study proposes a novelty of measuring villagers' readiness to build a smart economy in a smart village ecosystem based on the strength of community support. We propose an assessment of the prospect of developing a smart economy in a smart village through the citizen science level that integrates exogenous variables of community support for the environment, citizen character, empowerment, entrepreneurship, innovation, and the smart economy. The citizen science model towards a smart economy showed a high level of predictive relevance, which was 87,2%. The citizen science model towards a smart economy can also explain empirical data with a GoF value of 0,488. This research showed that the indicators of Information Communication Technology (ICT), ICT literacy, access to education and research and development (R & D) facilitation, motivation for smart villages, and innovation in villages were driven by family participation. The collaboration with the private sector, local government, and communities drive the village's smart economy. The SEM PLS approach has not been widely used in research on the smart village component, especially the relationship between citizen science and the smart economy. Therefore, this research can fill the gap in smart village research, which is still dominated by a descriptive approach.

In online shopping, it is currently an alternative place for shopping where this method is starting to be widely used by consumers. Various online shopping applications have sprung up, but several factors that influence consumer shopping decisions of course vary. In this study, researchers examined the effect of the accepted model of technology (ease of use and usefulness) and risk variables on consumer decisions to shop at online stores. In this study, the researcher used four variables, sixteen dimensions where each dimension was represented by two indicators so that in this study there were thirty-two indicators which would later be changed in the form of questions to respondents. In this study, the population used is consumers who have shopped online and since the population is very large, then with the quota sampling method the researchers determine the number of samples as much as five times the number of indicators so that the number of samples is 160 respondents, which would later be processed with AMOS SEM analysis tools. From the results of this study, it was found that the variables of ease of use, usefulness and risk had a significant and significant effect on consumer decisions to buy online. And the ease-of-use variable also affects the usefulness variable. The usefulness variable is found to have the greatest influence on consumer decisions, then the risk variable and finally the ease of use.

Small industries tend to achieve marketing performance harder than their bigger counterparts, constrained by limited resources when compared to large businesses, especially during the Covid-19 pandemic. These constraints seem to still be relatively difficult to find a way out and result in low marketing performance including small industries in Denpasar. The purpose of the study is to explain the influence of entrepreneurial personality on marketing performance and to investigate the role of digitalization of marketing as a moderation of the influence of entrepreneurial personality on the marketing performance of small industries in Denpasar. The subject of the study was a small industry in Denpasar, represented by the owner / manager as a source. The sample size was set at 150 respondents. Analysis techniques use Moderated Regression Analysis (MRA). The results found that entrepreneurial personality has a significant influence on marketing performance, and digitalization of marketing acts as a quasi-moderation of the influence of entrepreneurial personality on the marketing performance. Small industries should be more active in exploring paid online media since it has a wider reach, such as existing market places or utilizing government-provided facilities, be careful about setting production targets and setting targets for special forces on marketing performance.

This study aims to investigate the moderating effect of enterprise risk management on the relationship between the board of directors’ effectiveness on accounting and market performance in Jordan. The current study uses panel data of 684 firm-year observations, employed regression analysis and analysis of annual reports of 76 listed companies on the Amman stock exchange (ASE) from 2009 to 2017 covering 9 years. The findings of the hierarchical regression analysis showed that the enterprise risk management has a significant positive moderating effect on the relationship between the board of directors’ effectiveness on accounting and market performance in Jordan. The findings reveal that enterprise risk management positively moderated the relationship between board of directors’ effectiveness on Return on Assets, Return on Equity, and Tobin’s Q. It also moderated the interaction of board of directors’ effectiveness intercept enterprise risk management on Return on Assets and Return on Equity, which were found positive and significant. The findings of this paper can provide crucial conclusions and recommendations that clarify the relationship between the board of directors’ effectiveness and the accounting and market performance in Jordan and the moderate impact of the enterprise risk management.

This study aims to investigate the effect of digital marketing, social media marketing and electronic word-of-mouth EWOM, on the purchase intention with moderating effect of brand equity. A quantitative research approach was used to achieve the research objectives. The data was collected from a sample consisting of 254 online shoppers of IKEA Jordan. By using a random sampling technique, the data was collected through an electronic questionnaire. Statistical analyses were conducted such as data normality and scale reliability by using IBM SPSS 21 software, followed by measurement model and hypothesis testing by using Smart PLS3 software. The results assessed the validity of the measurement model, structural model as well moderation analysis that was conducted based on the study objectives. The findings confirmed the assumptions which stated the digital marketing had a positive significant effect on purchase intention, and the moderating effect of brand equity revealed a significant effect. The study has contributed to the existing literature by providing future research suggestions and directions linked to this topic in the context of Jordan social media marketing and shopping.

Bug tracking systems are standard repositories that preserve a large number of uncovered bugs. Once a bug is reported in these repositories, developers search for appropriate changes to fix the bug. However, discovering the changes that can fix the bugs has a negative influence on the schedule and cost of projects. Mainly, fixing bugs could be done by performing some other maintenance changes. In this work, we study and examine the role of adaptive maintenance in the context of API-migration during bug fixing activities through a case study on KOffice, Extragear/graphics, and Open Scene Graph projects. Our goal is to direct developers towards potential bugs early in development which are more likely to be fixed by performing adaptive changes as opposed to other maintenance tasks. We examined the reports of fixed bugs from the bug tracking systems of the studied projects, then we explored several factors related to variant dimensions of the reports and their relevant version history commits, in order to evaluate their effectiveness to decide whether a bug is likely to be fixed by adaptive changes. Our case study results show that bug residency time, textual contents of the report, the component that the bug was found in, and reporter/commenter experience show significant differences between the bugs that are fixed by adaptive changes and other fixed bugs.

This study investigates the application of the technology acceptance model (TAM) on the digital payment using social media platforms with the extended inclusion of perceived ease of use, perceived security, perceived usefulness, and trust in enhancing consumer behavioral intention. This work has surveyed 250 consumer films on the digital social media platform. Data collection used a questionnaire designed with a five-point Likert scale. The questionnaire was created using a Google Form, and questionnaire distribution was performed by sending the link through social media to the respondents. As many as 300 questionnaires were distributed, and 258 questionnaires were considered valid for further analysis. Data analysis used smartPLS software version 3.0. The result revealed that nine hypotheses were empirically supported while the others two were not supported. Perceived security directly affects trust and consumer behavioral intention. Perceived ease of use directly affects perceived usefulness and consumer behavioral intention. Perceived security indirectly influences consumer behavioral intention through trust and perceived usefulness. Furthermore, perceived usefulness directly affects trust and consumer behavioral intention. Besides, trust directly affects consumer behavioral intentions. Perceived ease of use indirectly affects behavioral intention through perceived usefulness. Moreover, perceived security affects consumer behavioral intentions indirectly through trust. Perceived ease of use influences perceived usefulness. However, perceived usefulness did not indirectly influence behavioral intention through trust. Finally, perceived ease of use did not affect consumer behavioral intention through perceived usefulness and trust. These findings extended the application of the technology acceptance model in using digital payment platforms in Indonesia. These findings reinforced current research on user adoption of new technology. Furthermore, this result provides a managerial implication for digital payment platforms providers to improve consumer behavioral intentions.