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The study aims to evaluate the readability, comprehensibility, and vocabulary knowledge of SRH educational materials available online and on paper to inform health educational material development for young adolescents.

The study used a sequential mixed-method design. Thirty-four online and one print adolescent sexual and reproductive health educational materials were assessed for readability. Two hundred and sixty-three adolescents aged 11–15 participated in the comprehension and vocabulary knowledge assessment of the online sexual and reproductive health texts. Comprehensibility was measured using a cloze test, and vocabulary knowledge was assessed based on a vocabulary knowledge passage. Data processing was performed using SPSS, version 26.0 and the online readability consensus calculator, version 1.0. We analyzed the data using readability algorithms, cross-tabulation and bar charts.

The results show higher readability levels for online SRH materials. Average Flesch reading ease scores range between 37.5% and 69.1%. Other average range indices were the Flesch Reading Grade Level (7–14), Gunning Fog Index (8.8–19), Simple Measure of Gobbledygook (6.6–10.6) and Common-Lieu Index (7.5–11.5). Nearly 51% of participants in the comprehension assessment read at the instructional level. The Chi-square test for grade level differences shows a statistically significant (X2 = 11.349; p = 0.003) difference in comprehension between 7th and 8th graders. The participants also identified 29 words from the 1,048-word passage for assessing vocabulary knowledge as unfamiliar and difficult, and 14 as familiar but difficult to understand.

The study’s findings may inform the design of health educational materials and provide a basis for a national decision on the readability threshold of adolescent health information.

This study aims to investigate the impact of Holland’s theory of career choice (RIASEC [realistic, investigative, artistic, social, enterprising and conventional]) on the entrepreneurial event model (EEM) and the agropreneurial intention among university students.

This study is quantitative research, and 772 undergraduate students from public and private universities in Malaysia participated. The data were then analysed using SmartPLS 4.

The statistical analysis revealed that the realistic, artistic, enterprising and conventional in Holland’s theory of career choice (RIASEC) are antecedents of perceived desirability and feasibility, which has an indirect effect on agropreneurial intention. Additionally, all dimensions of EEM have a direct effect on agropreneurial intention.

Despite the importance of agriculture in providing food security and reducing poverty, especially in rural areas, there is very limited empirical research in this area. Notably, most of the research on the intention to become an entrepreneur is general entrepreneurship. This study, therefore, undertakes an interventionist role to investigate the factors influencing agropreneurial intention among youth.

As it is known, the accounting information system (AIS) plays a significant role in the business ecosystem by recording and processing financial and accounting data and reporting the produced information to all relevant parties for decision-making. However, its used methods and systems, including double-entry bookkeeping and enterprise resource planning (ERP) systems, have limitations, especially in terms of trust and reliability concerns for stakeholders and the possible scope for records manipulation and fraud. The application of blockchain technology is believed to enhance the reliability of the AIS and addresses many of its current limitations. Blockchain can offer numerous benefits if used to manage AIS functions through enhanced trust, reliability, and transparency, increased efficiency, reduced costs and fraud, improved accounting information quality and real-time accounting. Nevertheless, the adoption and implementation of blockchain in the AIS are associated with several technical and nontechnical challenges which are not easy to address and could limit the wide technology adoption in the immediate future. Considering that a full understanding of the benefits and challenges of adopting blockchain in the AIS still needs more clarification, this chapter examines blockchain technology and its implications for the AIS. It reviews blockchain characteristics and its benefits to the AIS, discusses its possible integration into the AIS, outlines adoption and implementation challenges, and suggests critical avenues for future research.

Environmental, Social and Governance reporting (ESG) has attained immense importance among academicians, policymakers and strategic partners of business leaders. Due to high regulatory measures, this topic is becoming one of the most sustainable themes among emerging areas. There is ample literature on ESG as a sustainable business goal (SBG), but only a few studies have identified the factors that encourage the adoption of ESG reporting. The research aims to identify, determine and analyse the enablers of adopting ESG reporting adoption in developing economy India.

This study explores the strategic enablers that facilitate adopting ESG reporting practices in India. A thorough literature review and expert interviews were organized to accomplish the study’s goals. Initially identifying 23 enablers through expert interviews, this paper left with nine key enablers. Through an empirical analysis using m-TISM and MICMAC analysis, the current study has formulated the hierarchical structure to determine the relationship between strategic, operational and performance variables.

The research findings highlighted that the variables at the bottom of the model – a regulatory framework for a standardized code of reporting (E1), corporate governance reforms (E2) and regulatory efforts (E3) – are strategic determinants designed for successful ESG reporting adoption.

To capitalize on these facilitators, the government must impose mandatory disclosure and advance the policies, rules and advantages of ESG reporting adoption. Encouraging wider adoption involves aiding SMEs in implementing ESG practices and providing incentives like tax relief, incentives or subsidies for outstanding ESG performance.

To the best of the authors’ knowledge, this is the first research in the field to use TISM and MICMAC-based hierarchical models to identify and analyse the relationship between strategic ESG enablers for adopting ESG reporting.

This research analyses how dialogical communication on social media enhances the effectiveness of sustainability messages in terms of brand engagement and purchase intention. Dialogical messages generate social media engagement, which helps improve consumer responses.

Two experimental studies (2 × 2) were conducted, in which two factors were manipulated: the dialogical potential of the message (dialogical versus monological) and message orientation (sustainability versus commercial).

The dialogical potential of the message moderates the effect of sustainability messages on brand engagement and purchase intention. Results indicate that sustainability messages featuring dialogical elements generate greater brand engagement and purchase intention than commercial messages. Furthermore, social media engagement mediates these effects.

This study offers valuable insights into applying dialogical principles to sustainability communication on social media. Marketers should design dialogical messages to foster dialogue with customers and enhance engagement.

Few studies have focused on analysing the effects of applying dialogical strategies on social media to communicate sustainability. Thus, this study highlights the importance of dialogical communication beyond the inclusion of interactive elements when communicating sustainability on social media. The inclusion of dialogical features specifically benefits sustainability messages, given the transparency and honesty they demand.

This paper aims to conduct an interdisciplinary systematic literature review (SLR) of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies.

The paper applies a focused, SLR method to analyze articles on fake news in business and management journals from 2010 to 2020.

The paper analyzes the definition, theoretical frameworks, methods and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars.

The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers and policymakers. It provides recommendations to cope with the challenges and risks of fake news.

The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news.

The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that covers studies from different disciplines and focuses on business and management studies.

Companies seek to increase the percentage of acquisitions in different parts of the world by expanding operations. Many companies are adopting strategic mergers to expand their influence. However, most strategic change programs fail to achieve their objectives. This study aims to investigate employees’ reactions after strategic mergers through the mediating role of the employees’ psychological context. It was necessary to identify the most prominent postmerger employees’ behaviors. The study addressed this gap by investigating the outcomes of strategic mergers.

Data for this study were collected from 30 family businesses. Accordingly, 341 questionnaires were collected with an overall response rate of 64%. The structural equation modeling (PLS-SEM) approach and the nonlinear relationships approach were adopted by implementing artificial neural network (ANN) analysis.

The results confirm that there is a clear impact of strategic mergers on employees’ postmerger behavior because of the change at the hierarchical level and the process of distributing roles. Employees’ psychological context (individual incentives, anxiety and individual mobbing) mediates the relationship between strategic mergers and postmerger employees’ behavior. In addition, individual incentives are considered the main contributor to retaining or not retaining employees in family businesses after strategic merger.

Policymakers in organizations must pay attention to employees’ possible reactions to the internal and external policies of the organization by increasing individual incentives and reducing individual mobbing toward strategic merger. This study has theoretical implications that are critical guidelines for academics in mitigating the negative consequences for employees’ postmerger behavior. This study captured linear and nonlinear relationships to discover the determinants and antecedents of a strategic merger in family businesses. However, future studies should focus on using more robust statistical methods by adopting decision-making methods to determine the best and worst companies in terms of adopting strategic mergers.

The scarcity of literature on the most important determinants of postmerger employees’ behavior is considered an encouragement to conduct the current study. To this end, this study enriches the ongoing and future literature by examining the most important factors influencing the strategic merger of family businesses. Family businesses have changed the economic landscape of many countries. The investigation of the strategic merger of these companies is considered a worthy matter of study to improve the nation’s economy.

The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.

Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.

The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.

This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.

The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

Quality 4.0 is essential to the Industry 4.0 framework, notably in the electronics sector. It evaluates product quality in real-time using automatic process controls, quality tools and procedures. The implementation of Quality 4.0 criteria in the electronics industry is the subject of this study’s investigation and analysis. In this study, nine Customer Requirements (CRs) and 18 Design Requirements (DRs) have been defined to adopt Quality 4.0, aiming to increase yield while reducing defects. This study has developed a Quality 4.0 framework for effective implementation, incorporating the People, Process and Technology categories.

Many CRs and DRs of Quality 4.0 exhibit interdependencies. The Analytic Network Process (ANP) considers interdependencies among the criteria at various levels. Quality Function Deployment (QFD) can capture the customer’s voice, which is particularly important in Quality 4.0. Therefore, in this research, we use an integrated ANP-QFD methodology for prioritizing DRs based on the customers' needs and preferences, ultimately leading to better product and service development.

According to the research findings, the most critical consumer criteria for Quality 4.0 in the electronics sector are automatic systems, connectivity, compliance and leadership. The Intelligent Internet of Things (IIOTs) has emerged as the most significant design requirement that enables effective control in production. It is observed that robotics process automation and a workforce aligned with Quality 4.0 also play crucial roles.

Existing literature does not include studies on identifying CRs and DRs for implementing Quality 4.0 in the electronics industry. To address this gap, we propose a framework to integrate real-time quality measures into the Industry 4.0 context, thereby facilitating the implementation of Quality 4.0 in the electronics industry. This study can provide valuable insights for industry practitioners to implement Quality 4.0 effectively in their organizations.

One of the open questions is how to define a complete semantic description of an Internet of Things (IoT) system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system. This paper aims to propose a model to describe the IoT system. The authors suggest an approach to describe each category of contextual information separately and ensure the adaptation in the IoT system.

One of the open questions is how to define a complete semantic description of an IoT system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system.

One of the open questions is how to define a complete semantic description of an IoT system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system. This paper aims to propose a model to describe the IoT system. The authors suggest an approach to describe each category of contextual information separately and ensure the adaptation in the IoT system.

One of the open questions is how to define a complete semantic description of an IoT system and how to ensure the device’s identification in this type of system. To answer this question, the authors needed to propose a mechanism to describe an IoT system based on an IoT context ontology description. This mechanism is based on semantic web services creation to identify objects in IoT system. This paper aims to propose a model to describe the IoT system. The authors suggest an approach to describe each category of contextual information separately and ensure the adaptation in the IoT system.