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The study aims to assess the influence of change readiness on the knowledge sharing process. This study proposes that readiness for knowledge sharing involves developing holistic understanding of the process through identification of individual and organisational readiness.

The study adopts a qualitative case study design involving three New Zealand professional service firms (PFSs). Using grounded theory analysis, categories and concepts of change readiness that shape the knowledge sharing process were identified. The linkages among these elements offer an explanation of how readiness for knowledge sharing is formed.

Findings show that beliefs regarding knowledge sharing and individual expertise determine individual readiness to share knowledge. Readiness for the process is escalated by instilling collective commitment for knowledge sharing. A conducive organisational context, which comprises communication, participation and learning, represents a firm’s capability to implement the knowledge sharing process. Findings also highlight the moderating influences of firm archetype, inter-profession differences and knowledge nature in the interplay between change readiness elements and the knowledge sharing process.

Findings reveal elements that motivate readiness for knowledge sharing from a change perspective. The propositions and theoretical model offered could extend understanding of the phenomena and lead to further studies assessing readiness for other knowledge management processes. The study involves three PFSs; hence, interpretation of the findings is limited within the scope and context of the study.

Findings contribute to the formulation of firms’ knowledge sharing strategies by offering holistic insights into the importance of motivating readiness for knowledge sharing through consideration of multidimensional change readiness: individual and collective beliefs, individuals’ characteristics and organisational context.

It is the first empirical study that seeks to develop theory how change readiness elements influences knowledge sharing in the organisation. To offer more contextualised findings, the study focusses on the phenomena of change readiness and knowledge sharing within the professional service industry.

This study aims to show how change readiness shapes the knowledge acquisition process. The study elicits change readiness factors, at the individual and firm levels, that influence the knowledge acquisition process and are based on the context of professional service firms.

The qualitative study is grounded in interpretive philosophy and adopts a multiple-case study design. Three New Zealand Professional Service firms were analyzed for this study. Using grounded theory analysis, categories and concepts of change readiness that shape knowledge acquisition were identified.

Knowledge acquisition understanding, knowledge acquisition context and individual differences, represent primary dimensions defining change readiness for the knowledge acquisition process. Finally, distinctive firm archetypes, inter-profession differences and professionals’ demography, affect the way change readiness elements shape the knowledge acquisition process in the firms studied.

The study develops a theoretical model that shows how elements of change readiness, at the individual and organizational levels, influence knowledge acquisition. The study offers several propositions that could be tested in future studies. The study involves three professional service firms; hence, interpretation of the findings is limited.

A holistic understanding of change readiness factors that influence knowledge acquisition could mitigate failures of knowledge management processes in organizations.

It is the first empirical study that seeks to develop a theory on how change readiness elements influence knowledge acquisitions in the organization. To offer more contextualized findings, the study is done within the professional service industry.

This paper aims to propose a conceptual model for understanding the influence of change readiness on knowledge management processes and knowledge management effectiveness. It is suggested that change readiness should be assessed as a multidimensional construct consisting of psychological and structural facets. Furthermore, as the process of managing organizational knowledge requires interaction among members of the organization, a holistic view of readiness at individual and organizational levels is presented.

A comprehensive literature review results in the development of the conceptual model that depicts potential relationships between change readiness and knowledge management processes. It also postulates the effects of different knowledge management processes on effective knowledge management implementation.

Potential implications of change readiness from both psychological and structural dimensions for knowledge acquisition, creation and sharing processes are put forward. Further, it offers possible fruitful areas for continuous research of knowledge management effectiveness from a change perspective.

This article puts forward a number of potential relationships among the construct that are empirically testable to further understanding of multidimensional change readiness influences on the various types of knowledge management processes and its effective implementation.

Through a conceptualisation of the relationships between change readiness, knowledge management processes and knowledge management effectiveness, this paper offers a number of practical guidelines for the development of knowledge management policy and a road map from a change management perspective.

Previous literature on knowledge management focuses on understanding organizational readiness to promote successful knowledge management implementation in terms of the structural dimension. This paper proposes understanding of change readiness from a more comprehensive perspective comprising both psychological and structural readiness and its influences on knowledge management processes, which could affect overall effectiveness of knowledge management implementation.

Introduction: Many organisations nowadays use artificial intelligence (AI) in human resource (HR) activities like talent acquisition, onboarding of new employees, learning and development, succession planning, retention of employees, and automation of administrative tasks. When AI is integrated with HR practices, it helps HR personnel to focus more on the strategic aspects of the HR function and relieve them from routine HR activities.

Purpose: The readiness of employees to accept any change depends on organisational facilitation to change, employee willingness to accept the change, the requirement for change, situational factors, etc. This research studies the factors influencing employees’ change readiness towards acceptance of AI in HR practices. The researchers also strive to develop a conceptual technology adoption model for AI in HR practices by studying the earlier models. Finally, the research explores the acceptance of AI by various service sector employees and identifies whether there is any difference in their acceptance of AI based on demographic variables.

Methodology: A conceptual framework was derived using a combination of previous models, including the Technology Readiness Index (TRI), Change Readiness Scale, Technology Acceptance Model (TAM), Technology, Organization, and Environment (TOE) model, and change readiness scale. A structured questionnaire was designed and distributed to 228 respondents from the service sector based on the conceptual framework. An exploratory factor analysis (EFA) was used to determine the elements that influence employees’ level of change readiness.

Findings: The exploratory results on data collected from 228 respondents show that the model can be used for further research if a confirmatory factor analysis and validity and reliability test are performed. Employees are aware of AI and how it is used in HR practices, based on the study results. Moreover, while most respondents favour using AI in their company’s HR practices, they are wary of some aspects of AI.