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This study investigates the impact of traditional marketing analytics and big data analytics on the success of a new product. Moreover, it assesses the mediating effects of the quality of big data system.

This study is based on primary data that were collected through an online questionnaire survey from large manufacturing firms operating in UAE. Out of total distributed 421 samples, 327 samples were used for final data analysis. The survey was conducted from March–April 2020, and data analysis was done via Structural Equation Modelling (SEM-PLS).

It emerges that big data analysis (BDA), traditional marketing analysis (TMA) and big data system quality (BDSQ) are significant determinants of new product development (NPD) success. Meanwhile, the BDA and TMA significantly affect the BDSQ. Results of the mediating role of BDSQ in the relationship between the BDA and NPD, as well as TMA and NPD, are significant.

There are significant policy implications for practitioners and researchers concerning the role of analytics, particularly big data analytics and big data system quality, when attempting to achieve success in developing new products.

This is an original study based on primary data from UAE.

The aim of the study is to examine the impact of the big data analytics capabilities (BDAC) on the organizational performance. The study also examines the mediating role of ambidexterity and the moderating role of business value of big data (BVBD) analytics in the relationship between the big data analytics capabilities and the organizational performance.

This study collected primary data based on a questionnaire survey among the large manufacturing firms operating in UAE. A total of 650 questionnaires were distributed among the manufacturing firms and 295 samples were used for final data analysis. The survey was conducted from September to November in 2019, and data were analyzed based on partial least squares structural equation modeling (PLS-SEM).

The big data analysis (BDA) scalability is supported by the findings on the performance of firm and its determinants such as system, value of business and quality of information. The roles of business value as a moderator and ambidexterity as mediator are found significant. The results reveal that there is a need for managers to consider the business value and quality dynamics as crucial strategic objectives to achieve high performance of the firm.

The study has significant policy implication for practitioners and researchers for understanding the issues related to big data analytics.

This is an original study based on primary data from UAE manufacturing firms.

The purpose of this paper is to contribute to the marketing literature regarding Islamic countries, in particular the United Arab Emirates (UAE), by assessing the impact of electronic word of mouth (e-WOM) on brand image and on the online purchase intentions of consumers.

Using a descriptive research approach, this study used quantitative data to assess how the online purchase intentions of consumers in the UAE are influenced by e-WOM and brand image.

E-WOM has a significant impact on online purchase intentions and brand image among consumers. Brand image significantly influences the online purchase intentions of consumers.

The conclusions may not be generalizable because not all areas of the UAE were represented in this study. In future studies, a larger and more inclusive sample would help to overcome this limitation.

This study will help marketers to understand the power of e-WOM, an important marketing tool, and to use resources more strategically to attract new customers.

E-WOM is the most commonly used and most effective medium of sharing opinions and reviews pertaining to various products and services in the market. Understanding how it influences the purchase intentions of consumers is imperative and has strong implications for marketers.

This paper investigates the impact of blockchain technology on the Bricks and Mortar (B&M) grocery sector from a technological and functional perspective.

The research adopted an exploratory research design and the data comprises 17 semi-structured interviews with personnel at the top grocery retail chains in the United States, for example, Wal-Mart, Tesco, Stop and Shop and Meijer. Additionally, two major US-based blockchain service providers are included – SumatoSoft and Accubits.

Blockchain technology affects the business processes of B&M grocery retail by offering payment via tokens, secure payments and contracts between stakeholders, an end-to-end solution in the supply chain and secure management of the stock. However, this process is hampered by a number of challenges such as integrity and security concerns, difficulty in adapting sound logistics, lack of adequate skills and resistance to change by store managers and employees. This can be addressed by imparting education/training and creating awareness about the benefits of blockchain and generating industry-wide collaboration in which regulations can work.

The research has benefits for B&M grocery stores, governments and the wider society. For example, the findings of this study will help B&M grocery retailers to confront the competition by online retailers such as Amazon, AliExpress or eBay and promote the development of a systematic collaboration to achieve the changes they need.

The study is original and innovative in that no research to date has focused on how blockchain can help the B&M grocery sector and address its challenges.

Business intelligence (BI) is a strategic approach that can use analytical tools to collect and integrate information, apply business rules and ensure the appropriate visible output of organizational information. This study aims to present the design and implementation of BI in areas of business process improvement for production, distribution and customer services.

This study highlights the process of BI in the production, distribution and customer services based on the National Food Products Company (NFPC) in the United Arab Emirates (UAE). This study discusses the step-by-step development process of BI and refers to graphical illustrations of the business needs and the organization's target key performance indicators (KPI).

Based on the business needs and chosen KPIs to maximize production and improve distribution and customer services the BI tool shows that the “star scheme” is the most appropriate one. Relational Online Analytical Processing (ROLAP) based on Mondrian system is employed as Online Analytical Processing (OLAP) architecture since the NFPC's technological infrastructure was better adapted to this vision. The analysis starts with data retrieval from two databases' customer' and production and distribution databases. Finally, visualization and reporting processes that respect the end-users improve the NFPC's decisions.

The study will help other organizations, BI developers, data warehouses (DW) developers and administrators, project managers as well as academic researchers understand how to develop a successful BI framework and implement BI based on business needs.

This is a unique and original study on the BI experience from a UAE-based organization and will encourage other organizations to apply BI in their business process.

This paper seeks to measure the relationship between organizational climate (OCL) with organizational commitment meta‐analytically and the moderators influencing them.

A meta‐analytic research method was used in this research to determine the strength of relationship, fail safe n and presence of heterogeneity in study.

The unfavourable OCL (Case 2) (k=40, n=66,318) is correlated negatively with organizational commitment with confidence interval range varying from −0.552 to −0.562. The favourable OCL (Case 1) (k=89, n=53.865) is correlated positively with confidence interval range varying from 0.509 to 0.521. This research reviewed 106 valid studies after screening from 256 studies. Ten moderators were utilized to see the degree of change in relationship. Case 1 had four moderators namely gender, tenure, age, educational background, while for Case 2, there were two major moderators namely tenure and age.

The conclusions of this research are limited to employees based in organizations located in the USA and as such cannot be generalized for very dissimilar countries/cultures.

To minimize the unfavourable OCL, role conflicts, supervisor employee relations, leadership styles, decision making needs to be minimized and focus should be more on favourable climate enhancing variables in order to have substantial employee organization commitment or employee retention.

This study combines the previous available research on relationship between OCL and organization commitment and strives to find the study‐based moderators for comprehension of meta‐analysis results.

This paper aims to examine the factors influencing the adoption of social media marketing by small and medium enterprises (SMEs) in Pakistan. By investigating the drivers and challenges/barriers affecting the adoption of social media marketing tools among SMEs, this study provides practical guidance to SMEs seeking to utilize social media platforms for marketing purposes in a developing context such as Pakistan.

Utilizing the Technology-Organization-Environment (TOE) framework as a theoretical framework, qualitative data were collected through semistructured interviews with representatives of SMEs in Pakistan, followed by thematic analysis of the data.

The research identifies several key factors influencing the adoption of social media marketing by Pakistani SMEs. These factors include doubts regarding the benefits of social media, alignment with regulatory requirements, challenges related to tracking social media performance, resistance from senior management (older employees), the positive influence of competitive pressure and the Covid-19 pandemic, political instability and increased government taxes on digital services. Stakeholders such as marketing professionals, academics, policymakers, government authorities and SME owners and managers can benefit from these findings.

This research contributes to the academic literature on the adoption of social media marketing by SMEs, especially within emerging economies. It enriches theoretical understanding of adoption processes and factors, filling gaps in existing knowledge and laying a foundation for future research in this domain. Using the TOE framework, the study reveals that when all factors are adequately considered, SMEs can transition from traditional marketing methods and embrace social media as a digital marketing strategy to enhance performance, profitability, and gain a competitive advantage over their rivals.

This paper aims to systematically review how corporations are increasingly using social media to strategically disseminate information to investors, including different research tracks, then identify the gaps to propose future research opportunities.

The authors searched for relevant scholarly work on Scopus and Google Scholar databases published during the period 2000–2020 in English. Both quantitative and qualitative papers were reviewed. Articles were filtered based on their relevance to the study's goal, resulting in the selection of 84 articles. A total of 16 articles were selected for inclusion in the systematic review.

In light of the existing studies’ limitations, this paper derives and summarizes 16 leading future research tracks. Results indicated that corporations could use social media to reduce information asymmetry between managers and investors. Nevertheless, social media for information disclosure purposes is used in a strategic way, whereby only positive news and voluntary information are disseminated.

The implications for investors are that they can make better decisions by engaging in the process of “the wisdom of crowd,” which is facilitated by reciprocal communication. The implications for corporations are that sharing earning information through social networking platforms presents them with an opportunity to effectively manage their investors by reducing negative perceptions and increasing market response.

As far as we know, this is the first paper that uses a systematic literature review over the social media research field.

The purpose of this study is to investigate how electronic word of mouth (eWOM) affects purchase intention and brand equity, and to further examine the mediating role of brand equity between eWOM and purchase intention among Indian consumers of branded apparel.

The data was collected from 303 consumers of branded apparel using an online questionnaire, and data were analyzed through structural equation modeling with the help of SPSS v24 and AMOS v23.

The findings of this study demonstrated that eWOM has a positive and significant influence on brand equity and purchase intention. Simultaneously, brand equity partially mediates between the eWOM and purchase intention of consumers of apparel brands.

The study's data set is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketing practitioners and apparel manufacturers to augment their sales and design their promotional strategy in accordance with consumers' traits.

To the best of the authors’ knowledge, this study is one of the first to propose an integrative model that studies relationships between eWOM, brand equity and purchase intention by incorporating the Elaboration Likelihood Model among Indian consumers of branded apparel. Furthermore, this novel piece of research explores the relationship between eWOM and purchase intention with brand equity as a mediator, particularly for branded apparel selected by Indian consumers.

The purpose of this study is to examine an integrated model, in which brand equity (BE) mediates the effects of social media usage (SMU) and electronic word of mouth (eWOM) on purchase intentions among Indian consumers of branded apparel.

An online questionnaire was used to collect data from 317 Indian customers of branded apparel, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4.

First, the results indicated that SMU, eWOM and BE significantly impact consumers purchase intention; at the same time, BE is influenced by SMU and eWOM. Second, results confirmed that BE partially mediates the effects of SMU and eWOM on the purchase intentions of consumers of apparel brands.

The study's dataset is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketers and advertisers create customized advertising campaigns for the people who are most likely to buy their products. Marketers can also use social media to promote the uniqueness or point of difference (PoD) of their apparel brands.

To the best of the authors' knowledge, no study has been conducted on apparel brands in the Indian context that has tested an integrative model, in which BE mediates the effects of SMU and eWOM on the purchase intentions of customers of apparel brands.