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The significance of financial literacy (FL) in deciding how to allocate one’s investment capital has recently attracted much attention from various market participants and stakeholders. The study examines how FL affects individual investors' investment decisions (ID) in emerging markets. Additionally, the study investigates the potential mediating effects of attitude (ATT) and overconfidence bias (OCB) on the association between FL and ID.

The study employed a structured questionnaire to collect data from 311 individual investors in India, using both convenience and snowball sampling methods. The collected data were analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) and processed through SMART PLS 4.0 software to test the study’s hypotheses.

FL alone may not greatly affect ID, but the study enhances understanding of investor behaviour by examining how ATT and OCB mediate the link between FL and ID. The findings imply that FL, combined with positive ATT and overconfidence, empowers individual investors with the knowledge and skills for appropriate decision-making.

This research would benefit financial institutions, financial experts, and individual investors in India since it enables them to evaluate the causes and biases affecting their IDs and manage their portfolios accordingly. Policymakers should develop appropriate FL programs for investors to make informed decisions to achieve financial well-being.

The paper is exceptional in its approach as it delves into the mediating function of ATT and OCB in the intricate association between FL and ID. This innovative approach sets it apart from other studies in the field, making it a unique contribution to literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0370

Given the detrimental effects of job content plateau, the paper aims to study the impact of job content plateau on employees’ career commitment. In doing so, the authors examine whether the lapses in job content plateau can be addressed through developmental i-deals. A final purpose is to examine whether proactive employees are better positioned to obtain work arrangements that help them develop and remain committed to their careers.

Data were collected from full-time working executives employed in different organizations. These executives enrolled in a part-time MBA program. Data was collected at different time points and analyzed using the process macro (Preacher and Hayes, 2004).

The results suggest that developmental i-deals mediated the relationship between job content plateau and career commitment. In addition, proactive employees were better disposed to seal the deal and develop themselves – helping them to stay committed to their careers.

Prior studies highlight the negative consequences of job content plateau because it does not provide avenues to learn and develop. This paper addresses the gap in locating opportunities to learn and develop (an aspect that was missing in the job content plateau) through developmental i-deals. First, the study helps answer how to address learning gaps in jobs. Second, who can capitalize on their efforts once the organization sponsors learning opportunities.

Effective inventory management is crucial for SMEs due to limited resources and higher risks like cash flow, storage space, and stockouts. Hence, the aim is to explore how technology and know-how can be integrated with inventory practices and impact operational performance.

The basis of the analysis was collecting papers from a wide range of databases, which included Scopus, Web of Science, and Google Scholar. In the first phase of the process, a search string with as many as nine related keywords was used to obtain 175 papers. It further filtered them based on their titles and abstracts to retain 95 papers that were included for thorough analysis.

The study introduced innovative methods of measuring inventory practices by exploring the impact of know-how. It is the first of its kind to identify and demonstrate how technical, technological, and behavioral know-how can influence inventory management practices and ultimately impact the performance of emerging SMEs. This study stands out for its comprehensive approach, which covers traditional and modern inventory management technologies in a single study.

The study provides valuable insights into the interplay between technical, technological, and behavioral know-how in inventory management practices and their effects on the performance of emerging SMEs in Industry 5.0 in the light of RBV theory.

The RBV theory and the Industry 5.0 paradigm are used in this study to explore how developing SMEs' inventory management practices influence their performance. This study investigates the effects of traditional and modern inventory management systems on business performance. Incorporating RBV theory with the Industry 5.0 framework investigates firm-specific resources and technological advances in the current industrial revolution. This unique technique advances the literature on inventory management and has industry implications.

Ores and minerals are extracted from the earth’s crust depending on the type of deposit. Iron ore mines come under massive deposit patterns and have their own mine development and life cycles. This study aims to depict the development and life cycle of large open-pit iron ore mines and the intertwined organizational design of the departments/sections operated within the industry.

Primary data were collected on the site by participant observation, in-depth interviews of the field staff and executives, and field notes. Secondary data were collected from the literature review to compare and cite similar or previous studies on each mining activity. Finally, interactions were conducted with academic experts and top field executives to validate the findings. An organizational ethnography methodology was employed to study and analyse four large-scale iron ore mines of India’s largest iron-producing state, Odisha, from January to April 2023.

Six stages were observed for development and life cycle, and the operations have been depicted in a schematic diagram for ease of understanding. The intertwined functioning of organizational set-up is also discovered.

The paper will benefit entrepreneurs, mining and geology students, new recruits, and professionals in allied services linked to large iron ore mines. It offers valuable insights for knowledge enhancement, operational manual preparation and further research endeavours.

This paper explores the evident issue of organizational resistance to change. The study delves deep into the underlying resistance factors in organizations using a qualitative approach.

The qualitative study employs a grounded theory coding pattern and network analysis to explore the underlying themes. This approach gives a panoramic view of resistance to change by comprehending the themes of existing literature and verbatims collected from the respondents.

The results of the comprehensive interviews and analyses suggest a significant change in the definition of resistance to change. The network analysis led to the identification of subthemes, antecedents, and consequences of resistance to change. The study highlights the importance of innovation, personnel training, mistrust, and the role of motivation.

The insights gained from this practitioner-oriented study help navigate organizations to identify the issues related to resistance to change. The study also helps trace the issue of over-specialization, which promotes competency traps in organizations. The role of leaders in managing resistance to change is evident, which practitioners can consider for the more significant benefit of organizations.

The study proposes a nuanced understanding of resistance to change by using a qualitative approach to comprehend the phenomena from the perspective of leaders and employees. Using a coding approach for theme generation and network analysis for visualization ascertains the methodical rigor and comprehensive understanding alongside generating practitioner-oriented recommendations.

The delay in real estate projects in India is pervasive. Organization and management (O&M) and project management (PM)-related challenges are argued to contribute to project delays. This study examined the O&M and PM factors that cause delays, the level of implementation of various O&M and PM aspects in real estate projects and how the challenges can be alleviated.

Perception surveys among the consumers and relevant stakeholders engaged in real estate projects in the Bhubaneswar and Cuttack regions of India were conducted to collect data on the factors of delay and implementation of the O&M and PM aspects. Relevant statistical methods and structural equation modeling (SEM) were used for data analysis.

Findings suggest that from the O&M point of view, poor decision-making, mishandling of finance, concurrent execution of many projects, diversion and misuse of finance for unrelated activities, lack of PM personnel and poor management contribute to the delay. Further, although the project initiation is satisfactorily done, most of the PM principles are not largely used, thus leading to delay.

The study does have limitations, including its reliance on a perception survey of consumers and stakeholders, a limited sample size and a restricted number of projects. Nevertheless, the study highlights the need to address poor O&M and the insufficient application of PM principles to combat project delays in the Indian real estate sector.

Proper O&M and adequate application of PM will enable professional management of the projects and avoid delay.

Proper O&M and the application of adequate PM would reduce delays in real estate projects. Consequently, conflicts between the companies and consumers might be reduced and housing and infrastructure demands might be met.

The study manifested that the lack of adequate implementation of O&M and PM aspects leads to delays. So, it is theorized that O&M and PM play critical roles in the success of real estate projects. Appropriate implementation of the principles and best practices linked to these aspects might alleviate the challenges of delay in real estate projects in India.

The extant organizational leadership literature acknowledges the utility of pursuing meaningful leadership, yet the scarcity of meaningful leaders persists. This paper compares two cases to elicit the factors distinguishing successful and unsuccessful meaningful leadership.

This paper delves into the strategies and practices of leaders in two organizations, and data are collected in the form of field notes of participant observations, and informal conversations with the members of both organizations. It seeks to unveil the defining characteristics of a leader who fosters member meaningfulness (Organization X) compared to one who does not (Organization Y).

The paper highlights distinct strategies that contribute to meaningful leadership. Effective leaders emphasize broader objectives, align values, adopt participatory leadership, mitigate meaninglessness, and promote continuous learning and growth. Conversely, ineffective leaders prioritize short-term goals, overlook value alignment, and lack participative engagement; together, these factors enable leaders to inspire, engage, and guide their teams with a sense of meaning.

By acknowledging that meaningful leaders may not be easily developed, organizations can shift focus towards identifying and nurturing such leaders, enhancing their capacity to foster genuine meaning among members and thereby improving overall organizational effectiveness.

This paper’s unique contribution lies in its comparative analysis of real-world cases, illuminating the specific practices that underlie meaningful leadership. By delineating the critical factors contributing to meaningfulness, this research lays a foundation for organizations to locate and cultivate leaders capable of engendering authentic meaning within their teams.

This study aims to investigate the level of empowerment of rural women organic farmers through the Total Observed Score of a Statement-Revised scale (TOSS-R).

In doing so, exploratory factor analysis is used to investigate the factorial structure of the 8-dimensional TOSS scale. Further, first and second-order confirmatory factor analysis is used to confirm the construct reliability and model adequacy of TOSS-R. The data has been collected from 314 women organic farmers from four selected districts (Nayagarh, Khurda, Boudh, and Ganjam) of Odisha based on 2022 records from the Directorate of Horticulture.

The results showed that the TOSS-R is showing better model adequacy compared (CMIN/df = 2.031, RMSEA = 0.073, SRMR = 0.064) to the earlier TOSS scale (CMIN/df = 2.697, RMSEA = 0.840, SRMR = 0.096). Further in the analysis of the overall empowerment, the TOSS-R scale determined that 49.60% of women are highly empowered, 44.58% are moderately, and 5.73% are less empowered.

The study emphasizes that the policymakers should establish a local capacity to promote gender equity in land titling such that women irrigators will be officially labelled as “farmers”, thereby bringing them under government scheme that is exclusively granted to women farmers.

The study’s novelty lies in a more comprehensive model of determining the empowerment of women organic farmers which has the capability to determine the constraints of the women failing to be empowered in the farming sector.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0693

While the COVID-19 pandemic has given many firms the importance of business continuity, restaurants have yet to realize the essential enablers. In this regard, the study explored the potential enablers that can help firms attain business continuity in the post-COVID-19 era for casual dining restaurants.

This study used an extensive literature review and further supported 28 restaurant managers with an average experience of 8.5 years to identify the potential enablers for ensuring business continuity for casual dining restaurants. Subsequently, this study used the interpretive structural modelling coupled with Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis to understand the context-specific inter-relationships as a hierarchical structural model.

Findings suggest that financial capability forms the key driver for other enablers in the hierarchy of business continuity for casual dining restaurants. Furthermore, manpower (local and outstation) are the second-level drivers of restaurant process control, digital presence, online reviews and feedback management, scalability, food quality, food delivery management, employee safety and hygiene. The third-level factors further help restaurants to achieve the dynamic capability required to provide customer value and ensure business continuity.

The study is the foremost to explore a business continuity framework in the new normal for casual dining restaurants in the country. Furthermore, several contextual inter-relationships exhibiting the hierarchy are also established for the business continuity of restaurants in the new normal.

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.