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Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

This paper examines the role of theory in public procurement research. Theoretical rigour is integral to management science, yet little is known on the extent and form of theory in public procurement. With the field starting to mature, addressing this issue is timely. From conducting a systematic literature review we find that 29 percent of articles are theoretically grounded, with the incidence of theory having increased in recent years. Economic, sociological, psychological, and management theories are all in evidence, but micro-economic theories predominate. Our findings also show that survey reporting and case studies account for almost half of all studies; procurement research is focused on organizational-level aspects more than regulatory-policy issues or public buyers; and studies to date have largely emanated from the North American and European regions. The contribution of this paper lies in clarifying the theoretical underpinnings of public procurement. Out of this we highlight the need for greater theoretical rigour, point to the under-use and even absence of theories that could have high validity and utility, and suggest a narrowing of research foci.

Bullying is a complex phenomenon that is grounded in intricate interactions between an individual and the social and environmental systems that surround the individual. At the present time, all 50 states and the District of Columbia have adopted bully prevention legislation to reduce the prevalence among school-aged youth. Unfortunately, bullying is associated with adverse long- and short-term outcomes, where students with disabilities, including those with behavioral disabilities, may be at escalated risk for involvement and difficulty navigating the effects of prolonged exposure to bullying. Given the complexity of bullying, several participatory roles have been established to help guide identification and intervention delivery by recognizing the reciprocity between bullying and victimization. Most importantly, interventions should be situated within a multitired or component framework and grounded in skill development, where bully prevention programming is delivered to all students based on individual need. By recognizing the risk characteristics and understanding the various student profiles, especially as they related to youth with disabilities, schools can development, adopt, and implementing prevention programming that is designed to simultaneously increase academic, functional, and behavioral development, while decreasing bullying involvement.

Motivated by research linking job autonomy and job creativity with psychological well-being, this study examines how these work characteristics influence well-being among people with and without physical disabilities, utilizing both a categorical and continuous measure of disability.

Data were drawn from two waves of a community study in Miami-Dade County, Florida, of 1,473 respondents. Structural equation modeling was used to assess whether job autonomy and job creativity mediate the associations between the indicators of physical disability considered and depressive symptoms and whether these associations varied by gender.

Controlling for the effects of the sociodemographic control variables, both job autonomy and job creativity significantly influence the association between physical disability and depressive symptoms regardless of the measure of disability used. The effects of job autonomy were significantly greater for women than men in the context of greater functional limitation.

The findings highlight the need to further consider the work characteristics of employed people with disabilities. They also demonstrate that the conceptualization and measurement of physical disability has important research implications.

Need of the Study: In an ever-changing environment, the use of artificial intelligence (AI) to accelerate the business is inevitable. By introducing various advanced technologies to improve productivity, technology users are well aware of the challenges ahead.

Purpose: This chapter aims to understand AI technology and the challenges it faces in noted domains.

Methodology: This chapter is based on secondary research, and relevant information has been gathered from various secondary sources such as research articles, newspaper articles, books, and websites. There is a considerable gap between the expected outcomes of AI and the reality of AI in human resource (HR) practice.

Findings: The study’s outcome focuses on AI challenges in human resource management (HRM) functions such as recruitment and selection, learning and development, and performance appraisal. Considering the numerous benefits, it becomes essential to understand these issues/challenges so that they can be adequately addressed.

Practical Implications: This study highlights the issues such as complexity of HR practices, organisation readiness, staff acceptability, and responsibility for AI implementation in HRM, and other related issues and proposes prudent response to these challenges that will be embraced by both employees and employers, thereby adding novelty to this research.

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices, event counts and limited-dependent variables (truncation, censoring, and sample selection) among others. Our algorithm relies upon a novel implementation of efficient importance sampling (EIS) specifically designed to exploit typical sparsity of high-dimensional spatial precision (or covariance) matrices. It is numerically very accurate and computationally feasible even for very high-dimensional latent processes. Thus, maximum likelihood (ML) estimation of high-dimensional non-Gaussian spatial models, hitherto considered to be computationally prohibitive, becomes feasible. We illustrate our approach with ML estimation of a spatial probit for US presidential voting decisions and spatial count data models (Poisson and Negbin) for firm location choices.

The PMI Risk Framework (PRF) is introduced as a guide to classifying and identifying risks which can be the source of post-merger integration (PMI) failure — commonly referred to as “culture clash.” To provide managers with actionably insight, PRF dissects PMI risk into specific relationship-oriented phenomena, critical to outcomes and which should be addressed during PMI. This framework is a conceptual and theory-grounded integration of numerous perspectives, such as organizational psychology, group dynamics, social networks, transformational change, and nonlinear dynamics. These concepts are unified and can be acted upon by integration managers. Literary resources for further exploration into the underlying aspects of the framework are provided. The PRF places emphasis on critical facets of PMI, particularly those which are relational in nature, pose an exceptionally high degree of risk, and are recurrent sources of PMI failure. The chapter delves into relationship-oriented points of failure that managers face when overseeing PMI by introducing a relationship-based, PMI risk framework. Managers are often not fully cognizant of these risks, thus fail to manage them judiciously. These risks do not naturally abide by common scholarly classifications and cross disciplinary boundaries; they do not go unrecognized by scholars, but until the introduction of PRF the risks have not been assimilated into a unifying framework. This chapter presents a model of PMI risk by differentiating and specifying numerous types of underlying human-relationship-oriented risks, rather than considering PMI cultural conflict as a monolithic construct.

Introduction: Globalization and customer expectations have made managing the supply chain challenging. Blockchain technology has enhanced visibility, accountability, and safety in supply Chain management (SCM), which helps overcome various issues. The research aims to provide insight into Blockchain technology for improving supply chains toward sustainability in the retail sector. This study describes how clients and merchants in various retail business activities may significantly utilize Blockchain technology. From manufacturer to consumer, blockchain can track materials. It ensures product authenticity, transparency, and retail supply chain trust. Retail items are tracked before they reach customers to assess quality and discard expired items, building client confidence. Retail personnel’ SC (Supply Chain) blockchain adoption aspirations are examined in this study.

Methodology: This study validates SCM blockchain adoption using an adjusted UTUAT (Unified Theory of Acceptance and Use of Technology) model. This study examines how blockchain adoption improves employee performance using the UTUAT Model. Data was evaluated using exploratory factor and structural equation modeling.

Result: Behavioural intention was significantly associated with BCT (Block Chain Technology) in retail SCM.

Practical Implications: The following factors influence the behavioral intent to utilize the technology: performance expectations, affect expectations, subjective standards, and favorable conditions, which have a significant impact on adoption.

Conclusion: Performance and effort assumptions affect SCM blockchain adoption behavior.