Search results

The purpose of this paper is to comprehend the nature of online reviews received on various social networking sites and internet-based platforms regrading organizational corporate social responsibility (CSR) initiatives.

Given the novelty of this field, a qualitative exploratory research study was carried out. For this research, 28 Indian CSR experts on online CSR reviews were interviewed with a semi-structured open-ended questionnaire for data collection. Thematic and relational content analysis was applied for data analysis. The data was analysed based upon the theoretical anchors of micro foundations approach, organizational egoism (reputational and economic) concept and organizational logic (instrumental and integrative) literature and stakeholder salience.

The study analysis indicated that online CSR reviews that organizations received on various social networking sites and internet-based platforms from different individual and institutional stakeholders were complaints, appreciations, observations and recommendations in nature. Online CSR reviews appreciated more of integrative organizational logic than instrumental organizational logic. CSR reviews present on online platforms valued organizational reputational egoism more than organizational economic egoism. The salience of stakeholders was getting redefines in Web 2.0 based online CSR reviews. Finally, micro foundations approach was becoming a more potent perspective in the CSR narrative.

This research study was anchored in the micro foundations approach of CSR (Hafenbrädl and Waeger, 2017). This study ascertained those individuals did matter in organizational CSR narrative (Maak et al., 2016). Furthermore, how firms were evaluated through online reviews based upon organizational egoism (reputational and economic) (Casali, 2011; Casali and Day, 2015) and organizational logic (instrumental and integrative) (Seele and Lock, 2015; Liu, 2013; Gao and Bansal, 2013; Bansal and Song, 2017) was studied. Finally, in the world of online reviews, the notion of salient stakeholders (Mitchell et al., 2011; Magness, 2008) was getting redefined, and this aspect was also covered in this research study.

Firms have been engaging in CSR initiatives towards provision of social benefits and community engagement. Regarding firm CSR initiatives, CSR managers traditionally used to receive feedback from the stakeholders based upon written and special surveys conducted post or during the late stages of CSR engagement. The advent and ubiquitous presence of digital mobile devices and Web 2.0-enabled internet connections altered the way firms received feedback. This was because increasingly online reviews were received from stakeholders on firm CSR web pages, social networking sites and other online spaces. Many of the online CSR reviews were regarding the compliments and achievements that the CSR initiatives had achieved. However, a significant portion of online CSR reviews were regarding the complaints regarding the CSR initiatives. Online CSR reviews received from an array of stakeholders are inputs for firm managers. Online CSR reviews are thus an asset for an organization. Managers need to develop capabilities towards applying this asset for the expressed purposed. These online CSR reviews could be used as inputs to draw new CSR initiatives, redefine extant CSR initiatives. Furthermore, these online CSR reviews could be used as inputs to alter the organizational resources, capabilities, competencies and process regarding CSR initiatives.

This was one of the first studies that integrated the theoretical aspects of salient stakeholders, organizational logic, organizational egoism through the lens of micro foundations approach in the context of organizational CSR initiatives. To the best of the author’s knowledge, this was indeed a novel contribution, as the same was explored and explicated based upon online CSR reviews on internet-based platforms.

The purpose of this paper was to ascertain how social entrepreneurs were required to recognize their new ventures’ scope and scale of operations. The firm boundary was based upon two dimensions, namely, the scope of the offering and its scale. The objective of this research was to ascertain the thinking regarding this of social entrepreneurs engaged through technology-based social entrepreneurship (TBSE).

This study conducted an in-depth interview of 26 technology entrepreneurs engaged in social entrepreneurship ventures in India. The interview was carried out based upon a semi-structured open-ended questionnaire. This study undertook thematic and relational content analysis to develop a model of technology-based social entrepreneurs’ venture scoping and scaling.

This study found that the antecedent variables were the level of support perceived by social entrepreneur from government and at the industry level. Furthermore, the variables’ entrepreneurial and market orientation of social entrepreneurs were found to be the independent variables. These four variables in turn determined the explorative and exploitative horizon of the technology-based social entrepreneurs. Finally, an interplay of these variables ascertained the perspectives of social entrepreneurs engaged in TBSE regarding the notion of their firm’s scope and scale.

The theoretical insights developed in this research study provided an integrated theoretical perspective accommodating both environmental perspectives (industry support and government support) and organizational perspectives (entrepreneurial and market aspects). This was in context of TBSE.

The insights from this research study could provide a robust and comprehensive understanding to social entrepreneurs regarding the strategic thinking towards scale and scope for a technology-based social venture.

To the best of the author’s knowledge, this study was one of the first theoretical works in TBSE towards scaling versus scoping perspectives.

The purpose of this research was to study the impacts of adoption of additive manufacturing (AM) for spare parts procurement, specifically in the context of supply chain resilience (SCR) especially regarding efficient spare parts inventory management. Furthermore, key narratives in the adoption of AM toward better SCR are explored.

In-depth interviews with semi-structured open-ended questionnaire were conducted to collect primary qualitative data from 24 supply chain management (SCM) experts. Respondents consisted of experts across various industries. The data were analyzed by thematic content analysis method.

The results indicated that AM could be a suitable tool to reduce dependence on original equipment manufacturers (OEMs) for spare parts procurement. Data analysis also revealed that AM adoption might lead to significant cost and lead time reduction. Designs protected as intellectual properties (IP), substantive post-processing requirements and material compatibility were revealed to be barriers in adoption.

The impacts of utilizing AM for procurement of spare parts on the overall resilience of the supply chain were highlighted. Theoretical analysis of the findings was based on theoretical aspects of SCR. This was especially regarding efficient spare parts inventory management. The study results revealed the factors responsible adoption of the AM technology. A novel approach was undertaken to study the effect of AM adoption on “time-to-market” of newly launched products.

The research provided insights regarding practical applications of AM adoption in spare parts procurement. The study could be beneficial to the early adopters of AM across industries for making managerial decisions. Unfamiliarity of supply chain managers with the AM technology was believed to be a major reason to adopt the technology. The study provided essential inputs regarding challenges and alternate adoption strategies of AM. Thus, the research was believed to be of potential value for creating awareness among supply chain managers regarding AM technology.

The research provided new insights on the impact of AM adoption in the context of SCR toward efficient spare parts inventory management. Various limiting and facilitating factors specific to Indian context were also explored.

The purpose of this study was to ascertain organizational factors that impacted the performance of social enterprises.

For this research study, a structured close-ended survey questionnaire was prepared based upon literature inputs. The data was collected from 370 executives in social enterprises in India. The data was analysed through structural equation modelling.  The data was analysed towards hypothesis development as well as model development explicating the success of social enterprises.

This research study’s findings developed a model towards explicating firm level performance in social enterprises. The antecedent factors were organizational commitment (OC), organizational orientation (OO), employee empowerment (EE) and top management support (TMS). The factor business innovation capability (BIC) was the mediating variable, whereas the firm performance (FP) of social enterprises was the dependent variable. Business innovation creativity had full mediation effect.

In this research study, the variable influencing the performance of social enterprises were ascertained. TMS and EE were independent organizational variables in any social enterprise along with the two organizational factors of OC as well as OO that did matter for enhancement of BIC of social enterprises. BIC had full mediating effect based upon the mentioned factors of OC, organization orientation, EE and TMS, which subsequently manifested in superior social enterprises FP.

Social enterprises had to balance the twin objectives of social good (doing good for society) as well as earning economic benefits for the enterprise.  Given this challenge, social enterprises had to develop an organizational context in which employees were empowered towards undertaking social issues proactively. Furthermore, top management team must provide support for such causes. When this aspect coupled with the presence of OC and OO then in the social enterprise, BIC got developed.  With the presence of BICs, it became easier for social enterprises to undertake innovation that were also socially oriented and led to superior FP.

It has often been observed in developing countries like India that social innovation and entrepreneurial ventures associated with these have become a necessity. However, such ventures often do not to scale up. Hence, its case for business continuance and sustenance have been challenging. This study provided insights regarding the existential aspect of social enterprises in terms of its performance.

This study was one of the first research studies that integrated the factors of OC, OO, EE and TMS in building organizational capability towards innovation in social enterprises. This in turn contributed towards the improvement of FP of social enterprises.

The purpose of this study was to ascertain how real options investment perspective could be applied towards monetization of customer futures through the deployment of machine learning (ML) and artificial intelligence (AI)-based persuasive technologies.

The authors embarked on a theoretical treatise as advocated by scholars (Cornelissen, 2019; Barney, 2018; Cornelissen, 2017; Smithey Fulmer, 2012; Bacharach, 1989; Whetten, 1989; Weick,1989). Towards this end, theoretical argumentative logic was incrementally used to build an integrated perspective on the deployment of learning and AI-based persuasive technologies. This was carried out with strategic real options investment perspective to secure customer futures on m-commerce apps and e-commerce sites.

M-commerce apps and e-commerce sites have been deploying ML and AI-based tools (referred to as persuasive technologies), to nudge customers for increased and quicker purchase. The primary objective was to increase engagement time of customers (at an individual level), grow the number of customers (at market level) and increase firm revenue (at an organizational level). The deployment of any persuasive technology entailed increased investment (cash outflow) but was also expected to increase the level of revenue and margin (cash inflow). Given the dynamics of market and the emergent nature of persuasive technologies, ascertaining favourable cash flow was challenging. Real options strategy provided a robust theoretical perspective to time the persuasive technology-related investment in stages. This helped managers to be on time with loading customer purchase with increased temporal immediacy. A real options investment space involving six spaces has also been developed in this conceptual work. These were Never Invest, Immediately Investment, Present-day Investment Possibility, Possibly Invest Later, Invest Probably Later and Possibly Never Invest.

The foundations of this study domain encompassed work done by an eclectic mix of scholars like from technology management (Siggelkow and Terwiesch, 2019a; Porter and Heppelmann, 2014), real options (Trigeorgis and Reuer, 2017; Luehrman, 1998a, 1998b), marketing intelligence and planning (Appel et al., 2020; Thaichon et al., 2019; Thaichon et al., 2020; Ye et al., 2019) and strategy from a demand positioning school of thought (Adner and Zemsky, 2006).

The findings would help managers to comprehend what level of investments need to be done in a staggered manner. The phased way of investing towards the deployment of ML and AI-based persuasive technologies would enable better monetization of customer futures. This would aid marketing managers for increased customer engagement at the individual level, fast monetization of customer futures and increased number of customers and consumption on m-commerce apps and e-commerce sites.

This was one of the first studies to apply real options investment perspective towards the deployment of ML and AI-based persuasive technologies for monetizing customer futures.

The purpose of this study is to identify antecedents of adoption and post-adoption switching of online pharmacy applications (OPA) in Indian society. A push-pull-mooring (PPM) model was formulated to evaluate the impact of various constructs upon “consumers’ switching intention” (CSI).

An online questionnaire was sent to 252 users of OPA in India. Hypotheses were generated to examine the push, pull and mooring effects of constructs developed. The relationships between dependent and independent variables were evaluated using structured equation modeling (SEM).

The study explicated the effect of PPM constructs on CSI in the context of OPA adoption. “Perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had a significant “pull” effect on CSI. “Switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.

This study theoretically established that the constructs of “perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had significant “pull” effect on “consumers’ switching intention.” The construct of “switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.

The study provided valuable insights regarding consumer behavior regarding OPAs. These findings could be applied by managers in framing effective strategies to grow and retain the customer base of OPAs.

To the best of the authors’ knowledge, this was one of the first empirical investigative studies to assess precursors of adoption and post-adoption characteristics of consumer behavior through the PPM model, in the context of Indian OPAs.

The purpose of this study is to examine the factors that drive superior social enterprise performance for women-led social enterprises. The authors examined the role of individual entrepreneur cognitive characteristics contributing to social enterprise performance and recommended a framework for women's social entrepreneur development.

The authors conducted an exploratory qualitative study of 22 women founders of social enterprises using a semi-structured questionnaire. In-depth interviews were conducted, and the transcripts were analyzed using thematic content analysis.

This study found a significant impact of self-efficacy on the performance of social enterprises among the studied subjects. Social support in the form of material, information and emotional support enhanced the ability of women social entrepreneurs to better achieve business sustenance and continuance of operations. The business skills of the women social entrepreneurs led them to move from just social impact generators to becoming thought leaders. The strong prosocial motivation of the founders contributed to building their resilience in the face of adversity.

This study extended the existing theories on social entrepreneurship by bringing the dimensions of entrepreneurial resilience in driving social enterprise performance along with business skills. Thus, it provided an enhanced explanation to the existing body of knowledge on contributors to superior social enterprise performance.

This study gathered insights into the role of entrepreneurship education focused on business skills, especially for women social entrepreneurs in achieving superior performance for their social ventures. This also reconfirmed the role of social support and how structurally this could be provided by educational systems to aspiring women social entrepreneurs.

The practice of social entrepreneurship by women social entrepreneurs has been growing. Its importance in developing economies because of its ability to make grassroots changes at the lower levels of society was substantive. Women have shown more inclination toward social business with an affinity for prosocial contribution. By focusing on nurturing these social enterprises, governments as well as global agencies like the United Nations and the World Economic Forum could accelerate social change. Furthermore, support for the current women social entrepreneurs as change-makers making a difference in society could be achieved.

To the best of the authors’ knowledge, this research study was one of the first studies on women social entrepreneurs focusing on the factors of self-efficacy, social support and entrepreneurial resilience contributing to social enterprise performance. This study combined the social entrepreneurship intention theory with entrepreneurial resilience and business skills to understand the factors leading to successful social enterprise performance for women social entrepreneurs.

The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.

The purpose of this study is to identify the factors that contribute to the successful implementation and management of sustainable innovation in research-intensive sectors such as the life sciences industry.

The study was conducted through a combination of two methods. The first was qualitative interviews of 21 sustainability experts and leaders in the life sciences industry who were responsible for implementing sustainable innovation. They were selected through nonprobabilistic purposive sampling. The second method was thematic content analysis using the MAXQDA software.

The study identified that successful implementation of sustainable innovation in research-intensive firms begins with the alignment of the executive vision for sustainability with the business objectives of the research-intensive firm. Furthermore, implementation of sustainability practices is identified as a function of organizational reconfigurations that facilitate purposeful inflow and outflow of ideas and knowledge between internal firm resources and external stakeholders, anchored by the objectives of the research-intensive firm.

The study explicated factors only within life sciences industry based on qualitative interviews. The study offers scope for cross-sector quantitative evaluation.

To the best of the authors’ knowledge, this study is among the first studies to systematically delineate the underlying factors that govern successful implementation of sustainable innovation in research-intensive industries, through integration of the resource-based view and stakeholder theory and thereby provide a framework for research-intensive organizations to implement sustainable innovation practices.

This research study aims to inquire into the technostress phenomenon at an organizational level from machine learning (ML) and artificial intelligence (AI) deployment. The authors investigated the role of ML and AI automation-augmentation paradox and the socio-technical systems as coping mechanisms for technostress management amongst managers.

The authors applied an exploratory qualitative method and conducted in-depth interviews based on a semi-structured interview questionnaire. Data were collected from 26 subject matter experts. The data transcripts were analyzed using thematic content analysis.

The study results indicated that role ambiguity, job insecurity and the technology environment contributed to technostress because of ML and AI technologies deployment. Complexity, uncertainty, reliability and usefulness were primary technology environment-related stress. The novel integration of ML and AI automation-augmentation interdependence, along with socio-technical systems, could be effectively used for technostress management at the organizational level.

This research study contributed to theoretical discourse regarding the technostress in organizations because of increased ML and AI technologies deployment. This study identified the main techno stressors and contributed critical and novel insights regarding the theorization of coping mechanisms for technostress management in organizations from ML and AI deployment.

The phenomenon of technostress because of ML and AI technologies could have restricting effects on organizational performance. Executives could follow the simultaneous deployment of ML and AI technologies-based automation-augmentation strategy along with socio-technical measures to cope with technostress. Managers could support the technical up-skilling of employees, the realization of ML and AI value, the implementation of technology-driven change management and strategic planning of ML and AI technologies deployment.

This research study was among the first few studies providing critical insights regarding the technostress at the organizational level because of ML and AI deployment. This research study integrated the novel theoretical paradigm of ML and AI automation-augmentation paradox and the socio-technical systems as coping mechanisms for technostress management.