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Novel and emerging technologies such as cognitive analytics attract a lot of hype among academic researchers and practitioners. However, returns on investments in these technologies are often poor. So, identifying mechanisms through which cognitive analytics can add value to firms is a critical research gap. The purpose of this paper is to theorize how cognitive analytics technologies can enable the dynamic capabilities of sensing, seizing and reconfiguring for an organization.

This conceptual paper draws on the extant academic literature on cognitive analytics and related technologies, the business value of analytics and artificial intelligence and the dynamic capabilities perspective, to establish the role of cognitive analytics technologies in enabling the sensing, seizing and reconfiguring capabilities of an organization.

Through arguments grounded in existing conceptual and empirical academic literature, this paper develops propositions and a theoretical framework linking cognitive analytics technologies with organizations’ dynamic capabilities (sensing, seizing and reconfiguring).

This paper has critical implications for both academic research and managerial practice. First, the authors develop a framework using the dynamic capabilities theoretical perspective to establish a novel pathway for the business value of cognitive analytics technology. Second, cognitive analytics is proposed as a novel antecedent of the dynamic organizational capabilities of sensing, seizing and reconfiguring.

To the best of the authors’ knowledge, this is the first paper to theorize how cognitive analytics technologies can enable dynamic organizational capabilities, and thus add business value to an organization.

The purpose of this study is to investigate the factors that influence direct and indirect adoption of e-government services in India.

A conceptual model has been proposed by integrating the factors influencing adoption of e-government services from extant literature. A quantitative technique is used for the purpose of the study.

The study classifies e-government adoption in two types: direct adoption and indirect adoption. The study has found that there is some difference between the factors influencing direct and indirect e-government adoption. Perceived awareness, perceived usefulness, trust in internet, trust in government and social influence are found to be positively correlated to direct and indirect e-government adoption. Availability of resources, computer self-efficacy, perceived ease-of-use, perceived compatibility, multilingual option and voluntariness are positively correlated to direct e-government adoption and negatively correlated to indirect e-government adoption. Perceived image is found to be significant for direct e-government adoption but non-significant for indirect adoption. Trust in intermediary is found to be significant only for indirect e-government adoption.

The sample size of 382 may not be a proper representation of a country like India, which has huge diversity and is densely populated. The study has been conducted in India, which is a developing country. The result might not be significant for developed countries.

The findings of this study provide useful insights into the decision-making process of e-government users in India and similar emerging economies. These findings can be important for government officials tasked with providing e-governance services.

Despite the digital divide, how the government is expecting its citizens to access e-government services and derive benefits and how the needy will be able to cope with the mandatory e-government services is an interesting topic to study. This leads to a new concept of indirect adoption.

The purpose of this study is to determine the factors that enable citizens to adopt e-government services at different maturity levels: information, two-way communication, transaction and political participation.

The study uses a grounded approach by conducting semi-structured interviews.

The study reveals that the factors influencing the adoption of e-government services vary at different levels. It identifies 27 influencing factors. In total, 13 of these factors influence adoption at the information level; 13 at the two-way communication level; 25 at the transactional level; and 16 at the political participation level. Auxiliary facilities, connectedness, corruption avoidance, transparency and fairness, customer support and forced adoption, not commonly discussed as influencing factors for e-government adoption in the extant literature, have been revealed in this study.

This study uses qualitative research and rather than generalization, the focus is explicitly on obtaining an in-depth understanding. Although the sampling used is sufficient for the purpose of this study and allows reasonable conclusions to be drawn; however, it cannot be considered representative of a vast country like India. Academicians and information systems researchers can use these findings for further research.

This study advances the understanding of e-government adoption. The findings have potential implications for public administrators and policymakers in successfully designing, developing and implementing e-government services at different maturity levels.

Existing e-government adoption theories are of limited scope and do not capture and specify the complete essence of citizens’ adoption characteristics at different levels of e-government services. Hence, a theoretical gap exists, which this study aims to fill.

The purpose of this study is to explore the factors that enable citizens to adopt e-government services in India.

The study uses a qualitative approach by conducting semi-structured interviews.

The study reveals novel e-government adoption factors, namely, auxiliary facilities, corruption avoidance, transparency and fairness in process, customer support, connectedness and forced adoption, previously unexplored in e-government adoption literature. In addition, the results highlight 17 e-government adoption factors that strengthen the findings from previous literature.

This study was qualitative in nature, and rather than generalization, the focus was explicitly on obtaining an in-depth understanding. The sample used was sufficient for the purpose of this study and allowed reasonable conclusions to be drawn; however, it cannot be considered representative of a vast country like India. Academicians and information systems researchers can use these findings for further research.

The findings of this study provide useful insights into the decision-making process of e-government services users in India and similar emerging economies. These findings can be important for government officials tasked with providing e-government services.

Previous studies in the context of e-government adoption, so far, have tried to integrate adoption factors from previous technology adoption models. Hence, these studies have not been able to capture the complete essence of e-government characteristics. In addition, there are limited studies in e-government adoption in the Indian context.

This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.

The purpose of this conceptual paper is to explicate the role played by information technology (IT) in enabling managerial dynamic capabilities. By doing so, this paper seeks to address a critical theoretical gap regarding IT’s role in enabling dynamic capabilities (DCs). DCs are knowledge-intensive and information-intensive processes and play a crucial role in facilitating strategic renewal of firms operating in volatile, uncertain, complex and ambiguous business environments. Although managers play a central role in the DCs framework, extant research has only focused on the role of IT in enabling firm-level and process-level DCs.

This conceptual paper uses the literatures on dynamic managerial capabilities, individual-level information system use, social capital, human capital, managerial cognition and technology-enabled learning to build propositions that link managerial IT use with the enablement of dynamic managerial capabilities.

This paper introduces a new construct called individual IT leveraging capability (IILC) and provides theoretically grounded arguments that link IILC with managerial social capital, managerial cognition and managerial human capital. It also explicates the relationships between managerial social capital, managerial cognition and managerial human capital and the dynamic managerial capabilities of sensing, seizing and reconfiguring.

The establishment of the linkage between IT and dynamic managerial capabilities extends the literature on the business value of IT. This work also adds to the literature on dynamic managerial capabilities by providing a theoretically grounded argument that IT can act as an antecedent of such capabilities.

To the best of the authors’ knowledge, this paper is arguably the first to theorize the role of IT in enabling managerial DC and thus addresses a critical gap in academic research literature.

The research aims to qualitatively explore e-marketplace service quality (EMSQ) from the perspective of an industrial buyer as a sole decision-maker. It further intends to quantitatively examine its impact on the industrial buyer's perceived value (PV), overall satisfaction (SAT), and e-loyalty (ELOY) in the context of business-to-government (B2G) e-commerce.

The research used an exploratory sequential mixed-method design. A qualitative exploratory study of EMSQ was conducted using a Straussian grounded theory (GT) technique, followed by an explanatory quantitative study using PLS-SEM to evaluate causal links between various research variables.

In the area of e-services, the investigation found that the hierarchical structure of EMSQ encompasses six broadly applicable dimensions and one B2G context-specific dimension of the e-governance process quality. The study also reinforced previous research findings in the B2C and B2B e-commerce domains, highlighting that e-service quality positively impacts online buyer's PV, SAT and ELOY.

This research contributed to the area of e-service operations by developing and validating the EMSQ model in the B2G e-commerce settings. Further, it has opened up new research avenues in B2G e-commerce.

The findings from this research highlighted that e-service operations managers should focus on usability, technological concerns, product/vendor quality concerns, customer support reliability, along with effective e-governance, ordering and logistics processes for e-business success. It also provides policymakers with guidelines for making B2G e-marketplaces sustainable.

To the best of the author's knowledge, this is the first study employing the GT and PLS-SEM techniques to explore EMSQ from the viewpoint of industrial buyers in B2G e-commerce. The study contributed to prior literature by proposing and validating the hierarchical EMSQ model.

Although comprehensive work has been conducted in several scholarly journals in electronic service quality (e-SQ) measurement, there has been no cross-functional review of these studies. The majority of the review studies focus on e-SQ assessment in the field of electronic retail. This paper explores and synthesizes e-SQ evaluation work across the various functional domains in the last two decades and maps critical methodological challenges. It further classifies the dimensions used by researchers in six broad categories for better comprehension.

To analyze and appreciate past e-SQ measurement research, a content assessment of the 50 most relevant research papers from various functional domains drawn from prestigious repositories was undertaken.

The results indicate shortcomings noticed in methodological issues in the e-SQ measurement research like research approaches, data analysis procedures, sampling methods, generation and purification of items, validity and reliability assessment, and dimensionality analysis. It further reveals that though e-SQ is multi-dimensional and context-specific, dimensions like content/information quality, website design, ease of use/usability, efficiency, security/and privacy, responsiveness, reliability, customer service, trust and fulfillment have been consistently cited in the reviewed studies across the various functional domains.

An assessment of 50 publications over the past 2 decades identifies key areas of concern in the existing research on e-SQ measurement in various functional domains for scholars and professionals. This study also provides a unique categorization of e-SQ dimensions used in various functional domains and has the potential to guide future research.

The purpose of this study is to understand and interpret the fundamental meanings attached to consumer behavior through m-Government (m-Gov) experience and to derive insights. The study explores the extent to which the emergence of m-Gov is able to change citizens established behavior of accessing government services primarily focusing on experience as an important driver.

The study used qualitative methods, and data were collected using semi-structured interviews of m-Gov users. Participants were identified through purposive sampling. Themes are identified from the collected data using thematic analysis.

The study reveals that m-Gov experience is highly satisfying since it meets citizens' expectations. The findings highlight that in many aspects, m-Gov services provide improved experiences compared to the traditional government and conventional e-Government (e-Gov) services (accessing public services from computers and laptop). The study also reveals a few negative experiences with m-Gov services, like limitations in the use of mobile devices due to their small screen size and high memory consumption, etc.

The qualitative method used in this study focuses clearly on unearthing depth and richness of understanding rather than the breadth of generalization. The sample size is apt for drawing reasonable conclusions. Scholars and information systems researchers may use some insights for future research.

m-Gov services in a developing economy like India is a new and emerging area for managers. The findings about the elements of m-Gov experience and how the experience influences citizens' acceptance decisions will benefit managers and policymakers in implementing m-Gov services or projects.

This study is one of the early attempts to explore the m-Gov experience. The research is important as experience affects users' attitude, a precursor to behavioral intention, which in turn, influences their behavior.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0482

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Many organizations fail to enhance business value through the use of cognitive analytics (CA). The impact of the technology on performance can be optimized via the significant influence of CA on the firm’s dynamic capabilities of sensing, seizing and reconfiguring.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.