Change Management Strategies Research Articles

Change Management Strategies In The Context Of Education: A Case Study Of Private School SMK X

Education is a sector that is constantly changing. These changes can be in the form of changes in curriculum, technology, policies, and so on. Schools as educational institutions need to have effective change management strategies to adapt to changes and improve the quality of education. This research aims to analyze effective change management strategies in the context of education using a case study of a private school. This research uses qualitative research methods. The data collection techniques in this research are literature review, observation, and interviews. The data that has been collected is then analyzed in three stages, namely data reduction, data presentation, and conclusion drawing. The results showed effective change management strategies in private education at SMK X include communication, stakeholder participation, training and mentoring, and adaptive culture. Effective change management strategies can help schools to adapt to changes and improve the quality of education.

Effective Change Management Strategies: Lessons Learned from Successful Organizational Transformations

The study looks into successful organizational transformations' effective change management techniques to extract important lessons for directing following change projects. The study uses a qualitative methodology to examine several case studies and secondary data sources to find recurring themes and patterns in various transformation scenarios. Key conclusions emphasize how crucial it is for change initiatives to be driven by strategy alignment, stakeholder participation, adaptive leadership, effective communication, and ongoing evaluation. The policy implications highlight the need to develop leadership skills, support regulatory frameworks that encourage evidence-based change management approaches, and cultivate organizational cultures that are open to change. Organizations may handle complexity, spur innovation, and achieve sustainable growth in the face of uncertainty and change by incorporating these findings into their change management strategies. This study offers insightful advice for practitioners and policymakers looking to improve their capacity for change and prosper in today's fast-paced business environment.

Planning the implementation of a new oncology compounding information system in an aseptic compounding unit: a mixed methods study

Abstract Introduction Systemic anti-cancer therapy (SACT) compounding is a high-risk process. Traditional mixed method systems for workflow management in aseptic compounding units (ACUs) are inherently prone to risk. Workflow management systems (WFMSs) are recognised internationally to improve safety, reduce costs, and increase ACU capacity.[1] Planning of the implementation of a WFMS has not been characterised before. In our ACU, Clinichemo® will be replaced with BD-CATO®. BD-CATO® is a WFMS and is the vendor for the National Cancer Information System (NCIS), implemented by the National Cancer Control Programme (NCCP).[2] Aim The aim of this study was to demonstrate how the implementation of a new WFMS can be safely planned, managed, and assessed. This aim was achieved using the following objectives: 1. Describe and risk assess the current workflows for SACT compounding. 2. Investigate agreed and published standards for SACT compounding. 3. Define the change management process. 4. Describe and evaluate the benefits, challenges and risks associated with the introduction of a new SACT compounding system. 5. Interview adopters of NCIS/BD-CATO® to assess their experience of the barriers encountered, how challenges were overcome, risks identified, mitigated, and eliminated through the change management process and ongoing. Methods The current workflow and future workflow for SACT compounding were characterised and current process risk assessed. Semi-structured interviews were carried out to evaluate pharmacist and pharmacy technicians’ attitudes and opinions towards the implementation of BD-CATO® in their organisations and the system itself. Participants were recruited by means of purposive and snowball sampling from ACUs across the country that had implemented/were in the process of implementing BD-CATO®/NCIS. Themes identified in interviews were compared to those found in the literature and guidelines. Interviews, a review of guidelines, published standards and the literature were used to guide and risk assess future process development. The change management plan was also defined. Results Nine participants (8 pharmacists and 1 pharmacy technician) were interviewed in June-August 2023. The interviews were conducted across 7 ACUs in Ireland. Thematic analysis of interview data yielded four key themes: 1. Participants discussed the importance of planning activities, such as communication with key stakeholders, discussions around phased implementation, and development of training material. 2. Having a designated individual tasked with change implementation improved outcomes of the implementation project. 3. Participants also discussed benefits and risks associated with BD-CATO®. 4. Participants discussed their reasons for perceived complexity of the system. A combination of interview data, review of guidelines, published standards and the literature were used to devise future process workflow and the change management plan. The future process workflow was also risk assessed using bowtie analysis. Conclusion The introduction of WFMSs has been interpreted both in the literature and within the Irish healthcare setting to increase efficiencies, reduce error rates, and improve the accuracy of SACT compounding. A formal change management strategy devised with resourcing, training, and obtaining stakeholder engagement is key to successful implementation.

Effects of digital readiness on digital competence of AEC companies: a dual-stage PLS-SEM-ANN analysis

ABSTRACT To what extent does a firm’s digital readiness influence its competence in implementing digital initiatives? This study employs a deep-learning-based dual-stage approach using Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN) to demonstrate and quantify this relationship. Data were sourced from a questionnaire survey involving 428 architecture, engineering and construction (AEC) firms in New Zealand. The PLS-SEM analysis confirmed the positive correlation between the digital readiness of an organization and its competence towards seven types of DT, including immersive technologies, sensing technology, robotics, 3D printing, digital fabrication, artificial intelligence and big data. The ANN analysis further quantified the importance of the investigated readiness indicators in influencing digital competence. The results highlighted four most significant readiness attributes influencing the digital competence of AEC firms: (1) organizational culture, (2) perception of the leadership team, (3) hardware & software systems and (4) strategy plans. The findings can serve as a baseline for developing effective change management strategies and contribute to reducing the digital divide within AEC organizations, facilitating the effectiveness of organizational digital transformation.

THE STRATEGIC VALUE OF BUSINESS ANALYSTS IN ENHANCING ORGANIZATIONAL EFFICIENCY AND OPERATIONS

Business analysts play a crucial role in enhancing organizational efficiency and operations by bridging the gap between business needs and technological solutions. This review explores the strategic value of business analysts in driving organizational success through effective analysis, communication, and stakeholder engagement. Business analysts act as key facilitators in organizations, translating business objectives into actionable requirements for technology solutions. By conducting thorough analysis of business processes, systems, and data, business analysts identify opportunities for improvement and recommend strategic solutions to enhance operational efficiency. Their role extends beyond mere problem-solving; they also play a pivotal role in aligning business goals with technology initiatives, ensuring that projects deliver tangible value to the organization. Furthermore, business analysts excel in communication and stakeholder engagement, acting as liaisons between business units, IT teams, and external vendors. Their ability to translate complex technical concepts into clear, understandable language enables them to facilitate collaboration and consensus among diverse stakeholders. This skill is particularly valuable in Agile environments, where collaboration and communication are key principles. Moreover, business analysts are instrumental in driving organizational change and transformation. By conducting impact assessments, developing change management strategies, and providing training and support, business analysts ensure that technology implementations are successful and sustainable. Their holistic approach to problem-solving and their focus on delivering value make them invaluable assets to organizations seeking to improve efficiency and operations. In conclusion, the strategic value of business analysts in enhancing organizational efficiency and operations cannot be overstated. Their unique blend of analytical skills, communication prowess, and stakeholder engagement abilities make them indispensable in driving organizational success. By leveraging the expertise of business analysts, organizations can streamline processes, improve decision-making, and achieve their strategic objectives with greater efficiency and effectiveness. Keywords: Strategic Value, Business Analysts, Enhancing, Organizational Efficiency, Operations.

User readiness as a determinant for use of big data analytics: A case of state corporations in Kenya

AbstractState corporations in Kenya are installing systems to provide real‐time data to enhance decision making, customer base growth, and revenue generation. However, these organizations must still determine their readiness for big data analytics. User readiness as a determinant for use of big data analytics in developing countries like Kenya has received limited coverage in literature. Yet, successful implementation necessitates users' preparedness and willingness to use the technology. Grounded theory was used in this study, which involved eight state corporations in Kenya. Four categories emerged from the data: user attributes, change management, ICT competence, and decision‐making culture. The proposed interventions to improve user readiness are top leadership support, user engagement, change management strategies, capacity‐building programs, and data governance. The article contributes to literature by exploring the gap between user readiness and use of big data analytics in state corporations in Kenya. It additionally offers practitioners, decision‐makers, and government officials in developing countries, factors that can increase use of big data analytics.

Navigating the Future: Exploring the Strategic Integration of Artificial Intelligence in Contemporary Management Practices

In today’s rapidly evolving business landscape, artificial intelligence (AI) has emerged as a transformative force, reshaping traditional management practices across industries. This research paper delves into the strategic integration of AI in contemporary management, aiming to provide insights into the challenges, opportunities, and implications faced by organizations navigating this transformative journey. Through a comprehensive analysis of case studies, industry trends, and expert opinions, this study explores the ways in which AI is influencing decision-making, efficiency, innovation, and sustainability within organizations. Furthermore, it examines the ethical considerations and change management strategies required to ensure responsible and effective AI adoption. The findings of this research offer a roadmap for organizations seeking to harness the potential of AI while addressing the complexities of its integration into management practices.

Emotions in Organizational Change: An Integrative Review

ABSTRACT Emotions play a significant role in organizational change, but they are often neglected in change management models, which can lead to resistance and increased stress among employees. In this manuscript we discuss how emotions can influence leaders and employee’s perception and responses to change initiatives. We also explore interpretive lenses that researchers use to investigate emotions in the context of organizational change. This literature review makes notable contributions by fostering the integration of social, institutional, and emotional perspectives into change management practices, while shedding light on the considerable potential of leveraging positive emotions for enhancing engagement during change implementation. MAD statement This integrative review addresses the role of emotions in organizational change management models, a key factor of engagement or resistance. The complex interplay of emotions in organizational change processes-where resistance and fear intertwine with excitement and hope – underscores the requirement for change management strategies that acknowledge the intricate role emotions play in both individual and group experiences. Change initiatives often falter because they address only on specific aspects, neglecting the dynamic between conscious and unconscious emotional expressions. Emotional dynamics in organizations extend beyond immediate reactions to change emcompassing deeper emotional bonds with leadership and the institutional environment. In this context, leaders are paradoxically sources of anxiety and responsible for mitigating it it within their teams. Anchored in previous research, this exploration offers new insights for optimizing change implementation. It suggests integrating social and institutional perspectives, and leveraging positive emotions in engagement strategies. Unlinke other reviews, this work synthesizes empirical findings specifically related to emotion's impact on engagement or resistance at different levels. It categorizes existing explanations and expands on the epistemological perspectives of emotions, elucidating how they operate and the ongoing efforts required to comprehend and harness emotions as catalysts for change.

The Role of Semantic Web Technologies in Improving Knowledge Management Systems

Purpose: The general purpose of this study was to investigate the role of semantic web technologies in improving knowledge management systems.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to role of semantic web technologies in improving knowledge management systems. Preliminary empirical review revealed that that semantic web technologies significantly enhanced knowledge management systems across diverse industries, facilitating better organization, integration, and retrieval of knowledge resources. Adoption of these technologies addressed key challenges such as information overload and semantic heterogeneity, leading to increased discoverability, interoperability, and reuse of knowledge assets. However, successful implementation required considerations of factors like organizational readiness and user acceptance, necessitating investments in training, support, and change management strategies. Overall, semantic web technologies improved knowledge management practices and enhanced organizational competitiveness in the knowledge-driven economy.
 Unique Contribution to Theory, Practice and Policy: The Social Constructionism theory, Cognitive Load and Diffusion of Innovation may be used to anchor future studies on semantic web technologies. The study recommended that organizations invest in semantic web technologies for knowledge management, prioritize user-friendly KMS, foster a culture of collaboration, establish robust governance, and monitor KMS performance. These measures ensured effective knowledge sharing, decision-making, and innovation, enhancing organizational competitiveness and success.

Using stink bug migration behavior for physical exclusion.

Stink bugs have become an increasing concern for tree fruit growers due to changing management strategies and the introduction of an invasive species. The use of broad-spectrum insecticides for stink bug control disrupts biological control and leads to secondary pest outbreaks. To seek alternative tactics, we investigated the physical exclusion of native stink bugs with single-wall net barriers at orchard borders. First, stink bug capture on clear sticky panels along orchard edges showed that movement between the native shrub-steppe vegetation and the orchard occurs for much of the growing season instead of the presumed single migration event in August. Most stink bugs were captured between 1 m and 3 m heights, signifying a 4 m exclusion barrier would intercept migrating bugs. We tested large net barriers (4 m × 23 m) constructed of plain netting with or without deltamethrin-infused netting in flaps compared to a no-net control. The capture of target and nontarget arthropods was determined with plastic tarps below the nets or on the open ground of the control. Net barriers did not directly affect stink bug densities in the orchards, although orchard populations were low overall. Barriers did intercept stink bugs, and the addition of deltamethrin flaps enhanced stink bug mortality but at the price of nontarget arthropod mortality. Our results indicate that stink bug management efforts should focus earlier in the growing season and given the long period of migration, barriers are a more sustainable way of slowing movement into the orchard than the current sole reliance on chemical control.

Generative AI in healthcare: an implementation science informed translational path on application, integration and governance

BackgroundArtificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes. Generative AI, capable of generating new data such as text and images, holds promise in enhancing patient care, revolutionizing disease diagnosis and expanding treatment options. However, the utility and impact of generative AI in healthcare remain poorly understood, with concerns around ethical and medico-legal implications, integration into healthcare service delivery and workforce utilisation. Also, there is not a clear pathway to implement and integrate generative AI in healthcare delivery.MethodsThis article aims to provide a comprehensive overview of the use of generative AI in healthcare, focusing on the utility of the technology in healthcare and its translational application highlighting the need for careful planning, execution and management of expectations in adopting generative AI in clinical medicine. Key considerations include factors such as data privacy, security and the irreplaceable role of clinicians’ expertise. Frameworks like the technology acceptance model (TAM) and the Non-Adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) model are considered to promote responsible integration. These frameworks allow anticipating and proactively addressing barriers to adoption, facilitating stakeholder participation and responsibly transitioning care systems to harness generative AI’s potential.ResultsGenerative AI has the potential to transform healthcare through automated systems, enhanced clinical decision-making and democratization of expertise with diagnostic support tools providing timely, personalized suggestions. Generative AI applications across billing, diagnosis, treatment and research can also make healthcare delivery more efficient, equitable and effective. However, integration of generative AI necessitates meticulous change management and risk mitigation strategies. Technological capabilities alone cannot shift complex care ecosystems overnight; rather, structured adoption programs grounded in implementation science are imperative.ConclusionsIt is strongly argued in this article that generative AI can usher in tremendous healthcare progress, if introduced responsibly. Strategic adoption based on implementation science, incremental deployment and balanced messaging around opportunities versus limitations helps promote safe, ethical generative AI integration. Extensive real-world piloting and iteration aligned to clinical priorities should drive development. With conscientious governance centred on human wellbeing over technological novelty, generative AI can enhance accessibility, affordability and quality of care. As these models continue advancing rapidly, ongoing reassessment and transparent communication around their strengths and weaknesses remain vital to restoring trust, realizing positive potential and, most importantly, improving patient outcomes.

Effectiveness of HRIS Personnel Records Management on Performance of Higher Learning Institutions: A Case of Tengeru Institute of Community Development

Organisations recognise that human resource information systems improve HR efficiency and, hence, organisational effectiveness. This has increased the adaptability of these systems, but methods of quantifying their efficiency are challenging. Given the time and expense associated with HRIS deployment, organisations must justify this commitment. Therefore, this study sought to assess the effectiveness of HRIS personnel records management on the performance of higher learning institutions, in the case of the Tengeru Institute of Community Development. The researchers employed a descriptive research design in the course of conducting the research. The population of this research consisted of all employees of all departments of TICD. The researchers used simple random sampling to select respondents. Both primary data and secondary data were collected for the study. Data were analysed using descriptive and inferential statistics with SPSS version 26.0. Findings revealed a significant relationship between HRIS personnel records and TICD performance. The majority of respondents agreed that human information systems (HRIS) can track employee movement and improve information dissemination. HRIS is effective in meeting strategic goals and enabling employees to meet expectations. Implementation has reduced work duplication and improved employee performance. HRIS personnel records management is useful for keeping correspondence records and maintaining leave records. The composite mean of 3.5 indicates that HRIS personnel records management significantly affects the performance of TICD. The study recommends that the Tanzanian government should integrate Human Resource Information Systems (HRIS) into its all-HR management processes to enhance operational effectiveness, reduce work duplication, and improve personnel records management. Investing in employee training and change management strategies will maximise HRIS benefits and enhance organisational performance.

Change management strategies and organizational effectiveness in Chinese universities

Change management strategies and organizational effectiveness in Chinese universities

CHANGE MANAGEMENT MECHANISM AND ITS EFFECT ON THE PERFORMANCE OF BANKS IN GHANA

Purpose- This research examines how Ghanaian banks use change management strategies, communication, and employee involvement. The study examines the current practices, and challenges banks face when implementing these strategies and how they affect overall organizational performance. Design/methodology/approach- First, most respondents worked for banks listed on the Ghanaian stock exchange and had seven or more years of experience in the same bank. This experience is critical because it provides a solid understanding of the bank's goals and objectives, as evidenced by the high percentage of respondents who believe they understand the bank's goals and objectives. A qualitative research design was used, with in-depth semi-structured interviews with senior management and employees of the selected Ghanaian banks. The collected data were analyzed using a thematic approach to identify patterns and themes related to change management strategies, communication, and bank employee involvement. Findings- According to the results, banks face challenges in implementing change management strategies, including resistance to change, communication, and employee involvement. However, the study revealed that effective communication, employee involvement, and appropriate change management strategies could improve organizational performance and customer satisfaction. Research limitations/implications- Because the study was limited to a few banks in Ghana, the findings may not be representative of all banks in the country. The study's findings, however, have implications for organizations in Ghana and other developing countries, emphasizing the importance of effective change management strategies, communication, and employee involvement in improving organizational performance. Practical implications- The study's findings benefit banks in Ghana and other developing countries because they suggest that improving communication, employee involvement, and appropriate change management strategies can assist organizations in overcoming resistance to change and improving organizational performance. Originality- This study offers unique insights into change management strategies, communication, and employee involvement in Ghanaian banks, providing valuable information for organizations and policymakers in developing countries. The study emphasizes the importance of effective change management strategies and the role of communication and employee involvement in improving organizational performance.

Land suitability analysis for turmeric crop for humid tropical Kerala, India, under current and future climate scenarios using advanced geospatial techniques.

Turmeric cultivation primarily thrives in India, followed by Bangladesh, Cambodia, Thailand, China, Malaysia, Indonesia and the Philippines. India leads globally in both area and production of turmeric. Despite this, there is a recognized gap in research regarding the impact of climate change on site suitability of turmeric. The primary objective of the present study was to evaluate both the present and future suitability of turmeric cultivation within the humid tropical region of Kerala, India, by employing advanced geospatial techniques. The research utilized meteorological data from the Indian Meteorological Department for the period of 1986-2020 as historical data and projected future data from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Four climatic scenarios of shared socioeconomic pathway (SSP) from the Intergovernmental Panel on Climate Change AR6 model of MIROC6 for the year 2050 (SSP 1-2.6, SSP 2-4.5, SSP 3-7.0 and SSP 5-8.5) were used. The results showed that suitable area for turmeric cultivation is declining in future scenario and this decline can be primarily attributed to fluctuations in temperature and an anticipated increase in rainfall in the year 2050. Notable changes in the spatial distribution of suitable areas over time were observed through the application of geographic information system (GIS) techniques. Importantly, as per the suitability criteria provided by ICAR-National Bureau of Soil Survey and Land Use Planning (ICAR-NBSS & LUP), all the districts in Kerala exhibited moderately suitable conditions for turmeric cultivation. With the GIS tools, the study identified highly suitable, moderately suitable, marginally suitable and not suitable areas of turmeric cultivation in Kerala. Presently 28% of area falls under highly suitable, 41% of area falls under moderately suitable and 11% falls under not suitable for turmeric cultivation. However, considering the projected scenarios for 2050 under the SSP framework, there will be a significant decrease in highly suitable area by 19% under SSP 5-8.5. This reduction in area will have an impact on the productivity of the crop as a result of changes in temperature and rainfall patterns. The outcome of the present research suggests that the state of Kerala needs to implement suitable climate change adaptation and management strategies for sustaining the turmeric cultivation. Additionally, the present study includes a discussion on potential management strategies to address the challenges posed by changing climatic conditions for optimizing turmeric production in the region. © 2024 Society of Chemical Industry.

Conceptual change management framework for effective use of examination administration system: a systemic review

This paper systematically reviews literature with the aim of conceptualizing a change management framework for the effective use of the Examination Administration System (EAS). Information systems (IS) change management factors in the implementation and the post-implementation phases are systematically reviewed to identify 37 reports between 2015 and 2023 and content was analyzed. Post-acceptance phase poses many challenges that often result in resistance from the user community thus relinquishing the expected gains. This paper explains change management factors in the post-implementation phase of information systems as they are not adequately addressed in existing literature. The conceptualization of the change management framework draws on the integration of the Unified Theory of Acceptance, Use of Technology and Effective Use Theory and nine change management factors as facilitating conditions. The paper concludes that effective use of EAS is realized through change management factors (i.e., user training, top management support activities, information flow, planning EAS as a change, change shared vision, performance measurement, user involvement and change recognition, user satisfaction and effective communication). This study further adds the indirect mechanisms (i.e., technology use and IS adaptive use) through which the change management factors can impact effective use. The study provides a useful guide to the practitioners and researchers to explain the change management strategies for the effective use of information systems and improve it. This paper also proposes that future studies adapt and/or empirically test conceptual change management apparatus for effective use to ascertain its validity within various contexts.

Change management strategy in the implementation of electronic medical record system in the era of digital transformation: Case study at Rahman Rahim Hospital

Change management strategy in the implementation of electronic medical record system in the era of digital transformation: Case study at Rahman Rahim Hospital

Analyzing the Influence of Artificial Intelligence on Digital Innovation: A SmartPLS Approach

This study investigates the influence of Artificial Intelligence (AI) on digital innovation using a SmartPLS approach, drawing insights from a dataset comprising 156 relevant observations. In the rapidly evolving digital landscape, AI has emerged as a powerful driver of innovation, reshaping organizational processes and outcomes across various sectors. Through a comprehensive analysis, the research explores the intricate relationships between AI adoption and digital innovation outcomes, addressing key questions regarding the extent to which AI influences process efficiency, product quality, and service creativity. The findings reveal significant correlations, highlighting the role of AI in enhancing organizational readiness, technological integration, and data quality. Moreover, the study identifies the critical importance of fostering an innovation culture and implementing effective change management strategies to leverage the full potential of AI-driven digital transformation. The robustness of the SmartPLS model is confirmed through substantial R-Square values and path coefficients, affirming the validity of the research hypotheses. Overall, this research contributes to a deeper understanding of the mechanisms through which AI influences digital innovation, offering actionable insights for businesses, policymakers, and researchers seeking to navigate and harness the potential of AI-driven digital transformation.

Enhancing Public Financial Management through Performance Evaluation and Cost Systems

Purpose: This study aims to explore public financial management (PFM) through performance evaluation and cost systems, seeking to enhance the efficiency, effectiveness, and accountability of managing public funds. The study highlights the importance of integrating performance evaluation and cost systems to achieve optimal resource allocation and transparency in attaining societal objectives. Research Design and Methodology: This research employs a qualitative approach through a literature review. The research process involves systematic searches of relevant literature, thematic analysis, and synthesis of findings from various studies. The focus is on the design, implementation, and impact of performance evaluation and cost systems in PFM and the challenges and opportunities encountered in their application. Findings and Discussion: The findings indicate that integrating performance evaluation and cost systems can improve public financial management by providing more comprehensive information for decision-making. This integration enables governments to allocate resources more efficiently, identify areas for improvement, and enhance transparency and accountability in managing public funds. However, the study also identifies challenges related to data availability, organizational complexity, and cultural resistance to change. Implications: This study has a practical impact on governments and policymakers in optimizing public financial management. Investment in data infrastructure, capacity-building, and change management strategies is necessary to overcome challenges in implementing integrated performance evaluation and cost systems. Furthermore, the study encourages further research to explore these integrated systems' long-term impact and sustainability in different contexts.

Adaptation of Village Government Management in the Digital Era: Phenomenographic Study

This research aims to create a change in the model of village government management in accordance with the community needs in this digital era. The study was conducted in two villages: Kalisampurno Village and Kludan Village, located in the Tanggulangin Subdistrict, Sidoarjo Regency, East Java. As the rural community needs in this digital era have changed, village governments have to change their management systems as the form of updated strategy. However, such a brand-new strategy often fails due to the lack of institutional capacity and the abilities of village government officials. In addition, the community's knowledge of technology influences their ability to adapt to technological advancements. This study employs a qualitative approach and with phenomenological methodology. Research data were collected through observations, interviews, and Focus Group Discussions. The study has indicated that the governance of Kalisampurno and Kludan villages showed poor result of change management strategy implementation as their officials display ineffective functions, unefficient organization, and poor village policy management.