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The purpose of this paper is to develop a total interpretive structural modelling (TSIM) of strategic factors related to performance management in the context of Indian Telecom Service Providers taking dual perspectives in account, i.e. enterprise perspective and subscribers’ perspective.

An evolving performance management framework, i.e. flexible strategy game-card has been taken as the basis to develop the strategic performance management model, where strategic factors have been identified through thematic content analysis and the hierarchical structure of factors has been developed using TISM.

Two total interpretive structural models have been developed, one for enterprise-related strategic factors, and another for subscriber-related strategic factors. These hierarchical structures portray the leading and lagging factors of performance, and showcase that financial performance indicators are the lagging indicators.

This study has implications for both practitioners and academics. For practitioners, it provides an indicative list of strategic factors relevant for Indian telecom companies, which drive better financial results as well as a list of strategic factors that subscribers consider while assessing the performance of telecom operators. For academics, the methodology used provides a mechanism to conduct an exploratory study by identifying the variables of interest and highlighting their interactions through hierarchical structures.

The proposed strategic performance management models developed through qualitative modelling technique is a new effort altogether in the context of Indian telecom operators’. Capturing subscribers’ perspective of firm's performance is neglected in existing performance management literature, and this study makes a contribution in this regard.

The purpose of this study is to investigate data literacy (DL) for teaching and learning in higher education institution, as data has become a crucial component in the accomplishment of task and decision-making in diverse sector, specifically higher education institutions (HEIs), where students’ records, results and research activities are managed in data form.

This study adopted the interpretive content/document analysis harvested from database of Web of Science in this study. The use of content/document analysis became essential to establish appropriate empirical evidence that relates to this study. This was to support the argument of detailed systematic examination, which the author establishes in the study. The interpretive content/document analysis was based on systematic literature review on specific objectives.

Findings indicates that DL is crucial in HEIs. Different types of data collection methods, such as rating scale, reporting, questionnaire, interview, observation, checklist, project, registration, assignment and performance test, were noticed in specific institutional cases. Subsequent conceptual and pedagogical foundations in processing data were obtain through continuous reskilling to acquire adequate knowledge and skills of DL. Social media and institutional repository are now used to digitise data. Different types of skills and abilities were used to search, analyse, adopt and share data in HEIs. This study recommends strategies of the use of different databases for data digitisation and creation of awareness on DL education in HEIs in Africa, specifically Nigeria.

This study is insightful with the understanding of DL in HEIs. The significance in this era of digital literacy become essential, as the need to have the knowledge and application of the use of data is important because of how it serves scholar in decision-making and planning in organisational productivity. The rationale towards this study on DL was on the basis that the world is a global village and without data, no organisation or HEIs could function adequately. Several types of data collected, such as rating scale, reporting, questionnaire, interview, observation, checklist, project, registration, assignment and performance test, have transformed institutional cases, for better and quality management operations. The subsequent conceptual and pedagogical foundations in processing data resulted in continuous reskilling, to sharpen learn and unlearn enterprise.

This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions.

EQCA supplements the method of qualitative content analysis, which enables researchers to deal with large amounts of data, with two elements from grounded theory, which allow detailed analysis and interpretation of codes and sub-codes. The elements in question are axial coding and theoretical sampling.

EQCA provides a method to generate middle-range theories by combining theoretical and empirical analysis to address and theorize the complex interactions between actors, structures and norms in international institutions. The value added by the proposed method is demonstrated with a case study of a United Nations intergovernmental working group in the issue area of business and human rights.

Based on the concepts of interpretation and social causality, this paper contributes to the body of qualitative research that transcends the dichotomy between positivist and post-positivist approaches in the disciplines of international relations and international political theory.

The study examines the social and environmental responsibility indicators disclosed by three International Council on Mining and Metals (ICMM) corporate mining members in their social and environmental reporting (SER) from 2006 to 2014. To achieve this aim, the author limits the data two years before (i.e. from 2006 to 2007) and six years after (i.e. from 2009 to 2014) the implementation of the Sustainable Development Framework in the mining sector in 2008.

Using the techniques of content analysis and interpretive textual analysis, this study examines 27 social and environmental responsibility reports published between 2006 and 2014 by three ICMM corporate mining members. The study develops a disclosure index based on the earlier work of Hackston and Milne (1996), together with other disclosure items suggested in the extant literature and considered appropriate for this work. The disclosure index for this study comprised six disclosure categories (“employee”, “environment”, “community involvement”, “energy”, “governance” and “general”). In each of the six disclosure categories, only 10 disclosure items were chosen and that results in 60 disclosure items.

A total of 830 out of a maximum of 1,620 social and environmental responsibility indicators, representing 51% (168 employees, 151 environmental, 145 community involvement, 128 energy, 127 governance and 111 general) were identified and examined in company SER. The study showed that the sample companies relied on multiple strategies for managing pragmatic legitimacy and moral legitimacy via disclosures. Such practices raise questions regarding company-specific disclosure policies and their possible links to the quality/quantity of their disclosures. The findings suggest that managers of mining companies may opt for “cherry-picking” and/or capitalise on events for reporting purposes as well as refocus on company-specific issues of priority in their disclosures. While such practices may appear appropriate and/or timely to meet stakeholders’ needs and interests, they may work against the development of comprehensive reports due to the multiple strategies adopted to manage pragmatic and moral legitimacy.

A limitation of this research is that the author relied on self-reported corporate disclosures, as opposed to verifying the activities associated with the claims by the sample mining companies.

The findings from this research will help future social and environmental accounting researchers to operationalise Suchman’s typology of legitimacy in other contexts.

With growing large-scale mining activity, potential social and environmental footprints are obviously far from being socially acceptable. Powerful and legitimacy-conferring stakeholders are likely to disapprove such mining activity and reconsider their support, which may threaten the survival of the mining company and also create a legitimacy threat for the whole mining industry.

This study innovates by focusing on Suchman’s (1995) typology of legitimacy framework to interpret SER in an industry characterised by potential social and environmental footprints – the mining industry.

The purpose of this study was utilize the experience economy to assess the value of the network hospitality experience for the guest and to develop a better understanding of network hospitality as a unique alternative to traditional lodging.

This study used a mixed-methods approach, relying on content analysis and interpretive phenomenological analysis to answer the research questions. Guest reviews of hosts for a lodging-specific network hospitality website were used as the data source for this study.

The educational dimension of the experience economy was most represented during network hospitality experiences. Additionally, the factors that create value for network hospitality users include verbal communication, a sense of feeling at home, engagement in entertainment, food and beverage and the functional experience while the spirit of network hospitality, reciprocity and desire for continuation through future intention can have a great impact on the travel and tourism industry.

This research adds value to the current literature by providing a better understanding of the experience economy at work in network hospitality, primarily education and esthetics. Additionally a better understanding of what factors of the network hospitality experience create value for guests is developed. This work focuses on a fast-growing substitute for traditional lodging and therefore needs to be better understood.

This study aims to analyze the content on corporate social responsibility (CSR) of Gucci, Prada and Ermenegildo Zegna on the social networks Instagram, Facebook and TikTok in order to examine the focus of the publications of these luxury brands, what type of content is more frequent and which ones generate more interaction and engagement.

An interpretive content analysis of a sample of 92 posts on CSR published between December 2021 and June 2022 is used. For this purpose, an analysis sheet validated through theoretical constructs and pilot testing is used.

Most of the social responsibility content of the fashion brands analyzed is linked to the use of sustainable materials, the protection of natural spaces and, in the particular case of Prada, the protection of the oceans. The posts that achieve the highest interactions are videos and photo reels. Although the strategies that significantly increase brands' reach on social networks are collaborations and joint posts with other fashion brands, as is the case of Gucci with NorthFace and Prada with Adidas. Also, one of the main findings of this research has been to identify that brands may be using TikTok – perhaps experimentally – to reach stakeholders in Asian countries, especially China, where other platforms such as Instagram or Facebook may have a more limited reach.

This research shows that the social responsibility activities of luxury fashion brands leverage the content marketing strategy in social networks. It also demonstrates the importance of the Asian market (mainly Chinese) in the outreach strategies of brands, as is the case of Gucci and Prada, which bet on CSR activities for the protection of the Asian tiger in the framework of the year of the tiger in the Chinese horoscope, as well as the publication of certain content on TikTok.

This paper aims to explore the nonfinancial drivers of value creation that influence an investment decision and present a set of drivers that contribute with a useful integrated reporting to its providers of financial capital using evidence from Brazil.

This paper is based on a systematic literature review in the Scopus, Web of Science and Google Scholar databases in the period from 2005 to 2020. Interpretive content analysis is used in 42 documents identified to explore nonfinancial drivers to demand by providers of financial capital, which are classified according to the capitals nonfinancial suggested by the integrated report (IR). Then, the results are evaluated by Brazilian professional investors in a focus group.

The members of the focus group do not consider the IR relevant to investment decision and neither the information about natural capital nor social capital. They highlighted two nonfinancial drivers of value not identified in the previous literature.

The focus group is limited by subjects’ availability and by the participants’ number. But its results represent initial discussions on the subject in the Brazilian context.

The results of this study have value, principally, to investors, target audience of IR, because it aligns your demands with the IRs content, improving its usefulness.

To the best of the authors’ knowledge, this manuscript is the first study to investigate the perception of Brazilian professional investors about the importance of the IR in investment decision-making and to identify content relevant to the financial capital provider’s investment decision, which can improve the usefulness of IR.

Persistent critical issues in built environment higher education (BEHE) curricula may need to be addressed by improving course organisation and management. In addition to the implications of the COVID pandemic, issues such as inadequate communication and lack of contemporary and innovative practices integrated with course delivery have resulted in a gap for Course organisation and management. The purpose of this study is to recommend a set of drivers that can assist academics and academic institutions in improving course development, organisation and management in the BEHE context. Thus, the study focused on three themes: course organisation and administration, timetabling and course communication.

A systematic approach was taken to obtain data, where a documental analysis and a close-ended questionnaire were adopted as data collection instruments. The documental analysis considered 334 mid module reviews (MMRs) generating data from architecture, construction management, civil engineering, surveying and real estate students. Content analysis was used to identify critical themes within the MMRs and develop a closed-ended questionnaire. Twenty academics from each discipline completed the questionnaire. Eight drivers were developed from the data obtained from both MMRs and questionnaires. Content analysis and interpretive structural modelling were applied to identify the relationship between the drivers. Finally, these drivers were categorised by their level of influence and reliance to highlight how they contributed to improving course organisation and management.

The study revealed eight drivers that can improve course organisation and management in the BEHE context. The study found that using virtual learning environments and communication are fundamental in course organisation and management.

This research paper suggests drivers to improve how academics and academic institutions organise and manage courses. The study recommends eight drivers that could be used as a guideline and a best practice as per the level partitioning diagram developed to enhance the course organisation and management in BEHE.

The study proposes a set of drivers to improve course organisation and management in BEHE curricula. Furthermore, insight into how these drivers influence and rely on each driver and their relation with the national student survey theme are novel contributions to the current body of knowledge. The paper further clarifies how they should be implemented for successful course organisation and management, thus, improving the quality of courses in higher education curricula.

The purpose of this paper is to present an intervention strategy for promoting career awareness among IT students in a South African context, followed by a reflection thereof based on qualitative data collected from students. Career awareness during study has shown to be a factor in the work-readiness of IT graduates.

The paper suggests an intervention strategy aimed at promoting IT students' career awareness. It provides context of the exit-level higher education (HE) module used to implement the intervention. Career awareness is achieved by industry talks, projects and events. Interpretive data collection and content analysis are used to understand the impact of the intervention from the students' perspective.

Recommendations are made towards productive interventions for raising career awareness among IT students using industry participation in higher education. The proposed intervention comprises of a combination of industry talks, capstone projects and specific events. Students had largely positive reactions and made suggestions for additional interventions they would find beneficial. A hackathon attended proved the most influential where seven out of eight involved students received job offers from one company. Other students became aware of their own employability, limitations and preferred career paths.

Findings provide confirmation on existing feasible approaches and also introduces new interventions that may be generalised to other fields of study. The paper not only provides an instructional design for a module to raise career awareness but also reflects on the feedback of the students. The reflection provided by students acts as a point of reference to ensure that the process followed for the intervention is practical within a South African context. The paper highlights the perceived benefits of involving industry in higher education to raise career awareness, factors that may prevent career awareness among IT students and valuable suggestions made by students to further enhance the intervention strategy. An implication of the research is a set of guidelines identified towards bridging the IT theory–practice gap. These guidelines can be used by many educators in similar environments to justify their interventions.

In this paper, the authors have tried to propose an organizational antecedent’s model of sustainable entrepreneurial orientation. It is believed that firms with high degree of entrepreneurial orientation are more plausible to prosper. Therefore, the authors are looking on how they can use organization factor to achieve sustainable entrepreneurial orientation.

This study uses a multiple case-study approach while incorporating content analysis and interpretive structural modeling. After reviewing previous studies on entrepreneurial orientation and corporate entrepreneurship, multiple case study including six firms from different industries in Iranian economic context were studied to discover the main organizational antecedents of sustainable entrepreneurial orientation using content analysis. Furthermore, interpretive structural modeling methods were used to determine the relationship between realized antecedents.

The findings show that the organizational antecedents of sustainable entrepreneurial orientation are coaching, succession plans, organizational learning, chief executive office, professional staff, organizational alignment and key resources and capabilities. The proposed structural model shows the relationship between organizational antecedents of entrepreneurial orientation and coaching is determined as the building stone of sustainable entrepreneurial orientation.

Researchers believe that findings will help managers and practitioners on how to design organizational factors in their organization. Hence, they can strengthen factors that promote entrepreneurial orientation and make it sustainable to enhance organizational performance.

While entrepreneurial orientation construct is a well-recognized concept in the previous studies, little is known about its organizational antecedents. Current research identified model organizational antecedents to achieve sustainable entrepreneurial orientation.