Initial Changes Research Articles

Development and psychometric validation of a scale for sources of resistance to change in higher education institutions

PurposeThe purpose of the present study was to develop a measurement model to identify sources of resistance to change (RC) based on a previous systematic review.Design/methodology/approachThe sample comprised 121 participants (faculty, students, graduates, and employees). Twenty-three items were assessed in four distinct stages: observation, exploration, confirmation, and communication. Exploratory and confirmatory factor analysis ensured the validity and reliability of the measurement process.FindingsThe final 14-item model consisted of four groups: “Personalities averse to change”; “Limited participation in the change process”; “Dominant sociocultural predisposition”; and “Weak managerial commitment to change.”Practical implicationsIt is hoped that the study will encourage further diagnostic examinations and assessments of the structural relationships associated with RC.Originality/valueThe present study expands our understanding of RC source typologies, the majority of which have focused on the individual and the organization. Higher education institutions bear a responsibility to initiate change to align with evolving environmental demands, but their endeavors are often subject to obstacles and delays stemming from individual and collective influences. To manage efficiently the conceptualization, planning, implementation, and management of change initiatives, we must comprehend and assess the primary sources of RC within such institutions.

Exploring academic perspectives on immersive scheduling in a UK university

This study examined how academic staff responded to a cross-institutional change initiative to integrate immersive scheduling into the first-year undergraduate curriculum. Immersive scheduling, also referred to as block or compressed delivery, sought to create a supportive first-year experience, to ease students’ transition to university. Adopting an immersive approach is associated with considerable change as academic staff adapt their practice to accommodate the compressed time frame of modules and embrace learning and assessment methods associated with this delivery format. In this study, we undertook semi-structured interviews with 17 academics who were leading the development and delivery of immersive modules or supporting the teaching and learning initiative. Our data indicated that academics played a significant role in the acceptance or rejection of the vision for immersive scheduling. Acceptance was reliant on academics recognising value in the vision, and this varied depending on the extent to which it resonated with local practice. In some cases, the move to immersive scheduling represented a valued opportunity to update pedagogic and assessment practices. However, in other contexts, academic resistance led to dilution of key elements of the vision, with compliance rather than innovation being the outcome. This study also highlights the value of using a combination of module delivery formats to mitigate recognised drawbacks associated with immersive delivery. We conclude this paper by proposing recommendations to support the future development of immersive scheduling in higher education institutions.

Integrated use of the CA–Markov model and the Trends.Earth module to enhance the assessment of land cover degradation

This study aims to demonstrate the potential of assessing future land cover degradation status by combining the forecasting capabilities of the Cellular-Automata and Markov chain (CA-Markov) models in Idris Selva with the land cover degradation (LCD) model in the Trends.Earth module. The study focuses on the upper Zambezi Basin (UZB) in southern Africa, which is one of the regions with high rates of land degradation globally. Landsat satellite imagery is utilised to generate historical (1993–2023) land cover and land use (LCLU) maps for the UZB, while the global European Space Agency Climate Change Initiative (ESA CCI) LCLU maps are obtained from the Trends.Earth module. The CA-Markov chain model is employed to predict future LCLU changes between 2023 and 2043. The LCD model in the Trends.Earth module in QGIS 3.32.3 is then used to assess the historical and forecasted land cover degradation status. The findings reveal that land cover degradation maps produced from local LCLU classifications provide more detailed information compared to those produced from the global ESA CCI LCLU product. Between 2023 and 2043, the UZB is predicted to experience a net reduction of approximately 3.2 million hectares of forest cover, with an average annual reduction rate of − 0.13%. In terms of land cover degradation, the UZB is forecasted to remain generally stable, with 87% and 96% of the total land cover area expected to be stable during the periods 2023–2033 and 2033–2043, respectively, relative to the base years 2023 and 2033. Reduction in forest cover due to the expansion of grassland, human settlements, and cropland is projected to drive land cover degradation, while improvements in forest cover are anticipated through the conversion of grassland and cropland into forested areas. It appears that using locally produced LCLU with high-resolution images provides better assessments of land degradation in the Trends.Earth module than using global LCLU products. By leveraging the opportunities offered by models with capacity to predict LCLU such as the CA–Markov model and the capabilities of the LCD model, as evidenced in this study, valuable forecasted information can be effectively obtained for monitoring land cover degradation. This information can then be used to implement targeted interventions that align with the objective of realising the United Nations' land degradation neutral world target by 2030.

Atmosphere circulation patterns synchronize pan-Arctic glacier melt and permafrost thaw

The Arctic is changing rapidly due to the amplification of global temperature trends, causing profound impacts on the ice sheet in Greenland, glaciers, frozen ground, ecosystems, and societies. Here, we focus on impacts that atmospheric circulation causes in addition to the climate warming trends. We combine time series of glacier mass balance from temporal satellite gravimetry measurements (GRACE/GRACE-FO; 2002–2023), active layer thickness in permafrost areas from ESA’s Climate Change Initiative remote sensing and modelling product (2003–2019), and field measurements of the Circumpolar Active Layer Monitoring Network (2002–2023). Despite regional and system-related complexities, we identify robust covariations between these observations, which vary asynchronously between neighbouring regions and synchronously in regions antipodal to the North Pole. We reveal a close connection with dominant modes of atmosphere circulation, controlling about 75% of the common pan-Arctic impact variability (2002–2022), also affecting the Greenland Ice Sheet. We emphasize that it is necessary to consider such atmospheric driving patterns when projecting impacts, particularly caused by extremes, in an increasingly warmer Arctic.

Global biomass maps can increase the precision of (sub)national aboveground biomass estimates: A comparison across tropical countries

Countries within the tropics face ongoing challenges in completing or updating their national forest inventories (NFIs), critical for estimating aboveground biomass (AGB) and for forest-related greenhouse gas (GHG) accounting. While previous studies have explored the integration of map information with local reference data to fill in data gaps, limited attention has been given to the specific challenges presented by the clustered plot designs frequently employed by NFIs when combined with remote sensing-based biomass map units. This research addresses these complexities by conducting four country case-studies, encompassing a variety of NFI characteristics within a range of AGB densities. Examining four country case-studies (Peru, Guyana, Tanzania, Mozambique), we assess the potential of European Space Agency's Climate Change Initiative (CCI) global biomass maps to increase precision in (sub)national AGB estimates. We compare a baseline approach using NFI field-based data with a model-assisted scenario incorporating a locally calibrated CCI biomass map as auxiliary information.The original CCI biomass maps systematically underestimate AGB in three of the four countries at both the country and stratum level, with particularly weak agreement at finer map resolution. However, after calibration with country-specific NFI data, stratum and country-level AGB estimates from the model-assisted scenario align well with those obtained solely from field-based data and official country reports. Introducing maps as a source of auxiliary information fairly increased the precision of stratum and country-wise AGB estimates, offering greater confidence in estimating AGB for GHG reporting purposes.Considering the challenges tropical countries face with implementing their NFIs, it is sensible to explore the potential benefits of biomass maps for climate change reporting mechanisms across biomes. While country-specific NFI design assumptions guided our model-assisted inference strategies, this study also uncovers transferable insights from the application of global biomass maps with NFI data, providing valuable lessons for climate research and policy communities.

Characterization of compressive fatigue behavior and acoustic emission analysis of Ti6Al4V cellular lattice materials fabricated by laser powder bed fusion

AbstractThis study investigates the mechanical properties and fatigue performance of Ti6Al4V cellular lattice materials (CLMs) featuring five distinct unit cell types (BCC‐Z, BCC, Octet, Truncated cuboctahedron [TCO], and Trabecular) at a relative density of 25%. Compression tests were conducted to assess static properties, including Young's modulus and yield strength. Subsequently, compression–compression fatigue tests (R = 0.1) were performed to evaluate fatigue behavior. Acoustic emission analysis was employed during static and fatigue tests to explore the potential for failure prediction. Results reveal that BCC‐Z and TCO exhibit slightly higher Young's moduli, surpassing 20 GPa, while BCC, Octet, and Trabecular display moduli ranging from 6 to 12 GPa. Regarding normalized fatigue behavior, BCC‐Z demonstrates superior fatigue resistance, followed by TCO. Notably, the acoustic emission parameters significantly correlate with the unit cell type. Lastly, a strong relationship between the initiation of failure and changes in acoustic emission parameters is observed, establishing a meaningful link between the static and fatigue curves and acoustic emission results.

Barriers to and facilitators of implementing colorectal cancer screening evidence-based interventions in federally qualified health centers: a qualitative study

BackgroundThere is an urgent need to increase colorectal cancer screening (CRCS) uptake in Texas federally qualified health centers (FQHCs), which serve a predominantly vulnerable population with high demands. Empirical support exists for evidence-based interventions (EBIs) that are proven to increase CRCS; however, as with screening, their use remains low in FQHCs. This study aimed to identify barriers to and facilitators of implementing colorectal cancer screening (CRCS) evidence-based interventions (EBIs) in federally qualified health centers (FQHCs), guided by the Consolidated Framework for Implementation Research (CFIR).MethodsWe recruited employees involved in implementing CRCS EBIs (e.g., physicians) using data from a CDC-funded program to increase the CRCS in Texas FQHCs. Through 23 group interviews, we explored experiences with practice change, CRCS promotion and quality improvement initiatives, organizational readiness, the impact of COVID-19, and the use of CRCS EBIs (e.g., provider reminders). We used directed content analysis with CFIR constructs to identify the critical facilitators and barriers.ResultsThe analysis revealed six primary CFIR constructs that influence implementation: information technology infrastructure, innovation design, work infrastructure, performance measurement pressure, assessing needs, and available resources. Based on experiences with four recommended EBIs, participants described barriers, including data limitations of electronic health records and the design of reminder alerts targeted at deliverers and recipients of patient or provider reminders. Implementation facilitators include incentivized processes to increase provider assessment and feedback, existing clinic processes (e.g., screening referrals), and available resources to address patient needs (e.g., transportation). Staff buy-in emerged as an implementation facilitator, fostering a conducive environment for change within clinics.ConclusionsUsing CFIR, we identified barriers, such as the burden of technology infrastructure, and facilitators, such as staff buy-in. The results, which enhance our understanding of CRCS EBI implementation in FQHCs, provide insights into designing nuanced, practical implementation strategies to improve cancer control in a critical setting.

Bank sustainability, climate change initiatives and financial performance: The role of corporate governance

This study elucidates the interrelationships among corporate governance disclosure index (CORPGOVDISCIN), bank sustainability characteristics (BSCs), bank-based climate change initiatives (BCCIs) and financial performance (FP) through the lens of multi-theoretical framework. Based on a panel dataset of 2785 observations (220 banks) from 16 Sub-Saharan Africa countries between 2007 and 2022, we observe that bank sustainability reporting framework (BSRF) and board sustainability committee (BSCOM) are positively related to increased levels of BCCIs. Second, the study shows that the BSRF-BCCIs and BSCOM-BCCIs associations are positively moderated by CORPGOVDISCIN, indicating that these relationships are contingent on the quality of the bank's corporate governance mechanisms. Third, the study then provides evidence that BSCOM is positively related to FP, but BSRF has no effect on FP. Fourth, we also observe that BCCIs disclosure has positive impact on FP, but actual BCCIs investments do not seem to improve FP. Fifth, the study detects that the association between BCCIs and FP is significantly moderated by CG mechanisms. We identify CG disclosure as the possible channel through which BCCIs and FP are interlinked. Finally, we show that the predicted relationships vary across banks' operating periods. Our findings are robust to endogeneity and selection bias concerns.

Spreading and scaling innovation and improvement: understanding why the differences matter

In this paper, we make a distinction between spreading and scaling innovations and spreading and scaling good practices for improvement, as many healthcare change practitioners often feel there is a...

Land-use land cover changes and their relationship with population and climate in Western Uganda

Sustainable management of land and its ecosystem requires well-documented Land-use and Land Cover changes (LULCCs) that have occurred over time. The objective of this study was to document the LULCCs, determine their relationship with climate and population changes in Western Uganda, and provide evidence to support decision-making in this region. This study utilized satellite images for the years 1992, 2000, 2010, and 2020 obtained from the European Space Agency Climate Change Initiative (ESA CCI), Climatic data from NASA, and Population Data from the Uganda Bureau of Statistics (UBoS). LULCCs and their influencers were characterized in the region, for the period 1992 to 2020. ArcGIS Pro Software Program was used to Filter time series data using Definition Query, while the scatterplot was employed to determine the relationship between changes in climate and population on LULCCs. Results indicate that LULC is dominated by agriculture, covering (66.46%), followed by forests (16.22%), waterbodies (8.0%), grassland, shrubland, wetland, and urban areas at (6.11%), (2.63%), (0.49%) and (0.1%) respectively. From 1992 to 2020, the area under agriculture, forest and urban increased by 0.1%, 0.1%, and 0.08%, respectively, while Grassland, wetland, and shrubland declined by (0.22%), (0.05%), and (0.01%) respectively. LULCCs for areas under wetland, grassland, and urban areas have a stronger relationship with precipitation and population growth. This information can be used by the decision-makers at the local, district, and national levels to better guide land-use practices aimed at sustainable land-use management for the current and future generations.

Multi-Parameter Approach to Determine the Floods Causes in North Luwu, South Sulawesi.

Abstract Floods occur annually in North Luwu, South Sulawesi Province, Indonesia. The exact cause of the flooding is yet to be known; thus, this study aimed to find the main factors causing floods in North Luwu using a multi-parameter approach. The methods applied are hydrological, flood susceptibility, and land use changes in the analysis. The return period and intensity duration frequency of rain (1983-2021) was used for hydrological analysis. Flood susceptibility is obtained from the processing of slope, elevation, rainfall, stream density, soil type, and land use parameters. Land use change was analyzed using the Climate Change Initiative and Land Cover (CCI LC) data in 2000 and 2015. The results of the 1-year rainfall return period in North Luwu were relatively high, namely 83 mm/day, the 2-year return period of 119 mm/day, 5 years of 142 mm/day, 10 years of 155 mm/day, and 100 years 184 mm/day. The results of the IDF analysis obtained that the early rainy hours showed an intensity of 41-46 mm/hour with a total of 259 mm/day, which was considered extreme. There is unity between the results of the correlation of flood events in 2021 with recorded rainfall of 64-153 mm/day. Flood susceptibility analysis shows the dominant high vulnerability in the downstream area of 101,337 Ha, medium vulnerability (208,545 Ha) in the middle stream, and low vulnerability of 57,719 Ha upstream. The high flood susceptibility map results followed the flood events distribution from 2017-2021, while there is a lack of change in the land use analysis.

Evaluating The Pertamina’s Waste Bank Program Using Social Return on Investment in Koja District, North Jakarta

The findings of this study are expected to serve as an objective benchmark for determining the level of social acceptance of PT Pertamina Lubricants Production Unit Jakarta (PUJ). Moreover, this study report presents the results of calculating the impact value and SROI of the program. This program aims to improve the welfare of society and the environment in Tugu Selatan Village, Koja District, North Jakarta, through the Berkah Waste Bank program. Based on the results of the SROI study, the Berkah Waste Bank program has proven to produce more significant benefits than the costs invested in activities such as planning for the development of the Berkah Waste Bank, environmental awareness training, distribution of assistance for facilities and infrastructure, mentoring and monitoring & evaluation (Monev) of the Waste Bank socialization program, management of drum and Non-B3 waste, training and development of social media and E-Commerce, initiation of waste programs oil change, garbage pick-up service, renovation of the Garbage Bank Shelter, inauguration of the Oil Exchange Garbage Workshop, program to strengthen marketing and administration of the Garbage Bank. These programs have proven to help increase communities’ capacity to manage inorganic and organic waste from industrial and household waste. Through a series of activities such as training, mentorship, and assistance, these programs aim to increase community awareness and participation in waste management and empower them by improving skills to support the local economy.

Analyzing Data on Students’ Institutional Trust and Its Impact on Emotional Wellbeing

Trust is an important aspect of institutional change initiatives. It reflects the overall practices of an institute. This study investigated the students’ effect of institutional trust on their emotional well-being. It was descriptive research in nature and for the collection of data survey method was used. The questionnaire is used to collect data from participants. The population of this study consisted of the students from University of Okara. Samples were selected by simple random sampling. The findings revealed that institutional trust greatly contributed to the progress of the institute. As well as it can effect positively the academic performance of the students. Recommendations were made that the role of leadership concerning the institution is central. Leaders have been described as the culture founders, their contribution or responsibility being the change of school culture by installing new values and beliefs. This means that the higher the academic reputation and public image of universities the greater is the chance of that university selected by potential students. Students studying in universities and colleges with high academic achievements and recognition expressed higher satisfaction levels than those institutions with relatively lower academic standing. There is always a challenge in branding private higher education institutions.

An Overview of Lean Six Sigma management applications in research animals facilities

Lean Six Sigma (LSS) is recognized as a continuous improvement methodology that enhances operational processes by reducing waste, variability, and costs, while increasing the quality of products and services. Originating in the industrial and manufacturing sectors, it has been implemented in healthcare over the past three decades to improve operational performance, costs and excellence. In animal research facilities, LSS was first reported at Seattle Children’s Hospital, where tools and methods were applied in administrative and research support services. The objective of this study was to characterize the current knowledge regarding the application of LSS tools in animal research facilities, identifying the benefits and limitations of these practices. A database search identified 227 publications, of which 11 were selected. The results showed that LSS has notable applicability and should be incorporated associated with initiatives for cultural and organizational change despite limitations as resistance to implementation and difficulty in sustainment the gains.

THE PARADOXICAL NATURE OF ORGANIZATIONAL CHANGE COMPANY: A THEORETICAL FOUNDATION AND KEY CONCEPTS

Organizational Change Management (OCM) is a crucial and really important process for companies that seek to adapt and succeed in a modern and dynamic world. However, despite the importance of Organizational Change Management and the numerous models and frameworks available, a significant proportion of change initiatives fail to achieve their desirable results. This problem instantly emphasizes the need for fresh ideas and innovative ways to address the complexities of organizational change in the modern world. First of all, this article explores the paradoxical theory of change as an alternative for better understanding and more efficient management of change that will be useful for various organizations. It reviews the theoretical foundations of this approach, rooted in Gestalt therapy and other relevant literature. Apart from that, the publication defines key concepts such as polarities and tensions, explaining how these seemingly contradictory forces are natural and necessary elements of dynamic systems. By embracing these tensions, organizations can foster adaptability, drive innovation, and enhance resilience. Secondly, the article also considers the concepts of the Real and Ideal Self in the context of organizational change, displaying how these two states' tensions can be a source of resistance or motivation. Understanding and managing these tensions is unarguably crucial for utilizing them as sources of energy and creativity, ultimately leading to more organizational transformations that would be more successful. What is more, this article provides practical insights on how to apply the paradoxical theory to some of the real-life situations. This shows the importance of balancing stability and change, autonomy and control, and exploration and exploitation in business corporations. Taking everything into consideration, by adopting these paradoxical components, organizations can create a holistic and more effective approach to change management, achieving lasting success and sustainability in the modern ever-evolving environment, which is vital for modern and successful business.

Small‐ and medium‐sized enterprises' carbon footprint reduction initiatives as a catalyst for green jobs: A systematic review and comprehensive business strategy agenda

AbstractMotivated by the growing attention on climate change, this study provides an up‐to‐date and comprehensive systematic literature review (SLR) on small‐ and medium‐sized enterprises (SMEs) carbon footprint reduction initiatives and green jobs. Based on datasets from databases that include Web of Science, Scopus, ProQuest and Google Scholar, we conducted a SLR of 70 published articles spanning 2012 to 2022. Using VOSviewer and InfraNodus, bibliographic cluster analysis revealed the existence of three clusters namely; the role of green job initiatives and green human resource management in SMEs (cluster 1); green innovation, green Initiatives, green strategy and circular economy in SMEs (cluster 2); carbon footprint reduction initiatives, carbon performance, carbon management and carbon emission in SMEs (cluster 3). We found that SMEs adopt green supply chain, employing energy‐saving strategies, eco‐friendly waste reductions and recycling, circular economy, and green office practices. The study results indicate that these carbon footprint initiatives can lead to green job creation since green competences are required to implement green initiatives. However, value propositions relating to carbon reduction initiatives within SMEs need to be integrated with employee engagement. Additionally, the SLR identifies future research areas that include exploring the association among SMEs carbon footprint, green innovation and green jobs, and strategies to enhance climate change initiatives. Consequently, we call for future research to focus on the design of green jobs tracking and carbon footprint reduction reporting framework to support SMEs' green initiatives. The findings have key policy implications for SME owners, policymakers, practitioners and future researchers.

Satellite data is revealing long time changes in the world largest lakes

Lakes are a crucial source of drinking water, provide ecological services from fisheries and aquaculture to tourism and are also a critical part of the global carbon cycle. Therefore, it is important to understand how lakes are changing over time. The ESA Ocean Colour Climate Change Initiative (OC-CCI) database allows to study changes in the largest lakes over 1997–2023 period. The Caspian Sea and ten next largest lakes were under investigation. Changes in the phytoplankton biomass (Chl-a), the concentration of particulate matter (bbp(555)), the colored dissolved organic matter, CDOM (adg(412)), and the light diffuse attenuation coefficient in water (Kd(490)) were analyzed. Both increasing and decreasing trends (or no significant trend at all) of studied parameters were observed in these lakes over the study period. In some of the Laurentian Great Lakes the changes in CDOM over the study period were found to be in accordance with the lake water level changes i.e. with the inflow from the catchment. There was difference between the trends of Chl-a and bbp(555) in lakes Michigan and Huron indicating that there may have been shift in phytoplankton community that took place around 2005. The study demonstrated that remote sensing products, like the ones created by ESA OC-CCI, are valuable tools to study behavior of large lakes ecosystems over time.

Analyzing the coastal sea level trends from SCMR-reprocessed altimeter data: A case study in the northern South China Sea

With improved altimeter data near the coast, it is possible to use them in analysis of coastal sea level trends. In this study, we assess the sea level trends over January 2002-April 2022 with the SCMR-reprocessed altimeter dataset in the coastal zone of the northern South China Sea (SCS). The reliability of this dataset is confirmed by the inter-comparison with the CMEMS (Copernicus Marine Environment Monitoring Service) Level-3 along-track data product and the ESA CCI (European Space Agency Climate Change Initiative) v2.2 virtual station product, along with the validation against tide gauge records. Compared to two altimeter products, the SCMR has a higher number of data points for the analysis of sea level trends in the study region (28439 vs 1408 for CMEMS and 868 for ESA CCI). The monthly SLA time series from the SCMR dataset are more consistent with those from tide gauge records in terms of higher correlation coefficients (0.37–0.83) and lower root mean square of the differences (RMSD, 33.98–92.19 mm) between altimeter and tide gauge. The along-track sea level trends within the 0–20 km coastal strip range between 2–5 mm yr−1, and the degradation of sea level trends occurs when the along-track trends show significant fluctuations at the spatial scales of ∼ 300 m. Therefore, a further data editing strategy is recommended in this regard. We also find that the ENSO-related signals mainly impact on sea levels in the west of Luzon Strait and of the Philippine coast, but are dampened along the Chinese coast over 2002–2022. The regional mean sea level trend is reduced from 3.54 ± 0.85 mm yr−1 to 3.00 ± 0.84 mm yr−1 after removing the ENSO-related low-frequency variability. Finally, the variation of sea level trends from offshore oceans to coasts is found to be nonlinear, indicating the complexity of sea level changes in the study area. The blending of tide gauge records and the SCMR dataset has been successfully conducted in four tide gauges over a longer period of January 1993-April 2022, which would contribute to the analysis of long-term sea level trends at the local scales.

Unlocking the sources of individual readiness for change: exploring the role of nationality

PurposeThis paper aims to examine primarily the readiness for change at an individual level. Additionally, this study examines the impact of internal change factors on individual readiness for change as well as their effect across nations.Design/methodology/approachThe research relies on a quantitative research approach. A survey was conducted among 241 managers across 33 countries. Covariance-based structural equation modeling (CB-SEM) approach and multigroup analyses have been applied for hypothesis testing.FindingsOur research contributes a novel perspective on individual readiness for change and unveils how employees' perceptions of context, process and intensity as internal change factors influence their readiness for change. The findings give support to the assertion that employees' attitudes toward change are altered by individual perceptions.Research limitations/implicationsOur research explores the moderating effect of nationality used through a grouped variable and finds significant impacts of clusters of nationalities. Thus, nationality may serve as a proxy for culture that might be examined in future research studies in a more deeply focused way to include beliefs, values and societal norms.Practical implicationsThe new understanding of the topic “individual readiness for change” opens up new research directions and enriches ongoing discussions about societal change and sustainable project management. This topic creates a link to situational leadership principles, considers cultural factors and, therefore, advocates for a people-centric approach to modern stakeholder management in order to achieve commitment toward change initiatives and consequent project success.Social implicationsConsidering that the path toward the successful implementation of any change project is highly contingent on personal dispositions to change, our research uncovers the potential impact of individual perceptions on employees' readiness for change.Originality/valueOur major contribution is to highlight the importance of considering individual perceptual drivers of readiness for change and to acknowledge the moderating effect of nationality as a contextual factor altering the relationship between perception of change and individual readiness for change.

CLIMATE CHANGE CHALLENGES IN BANGLADESH

Climate change is a pervasive global challenge with far-reaching implications for both the environment and human society. A thorough comprehension of these repercussions is essential in crafting effective strategies to mitigate their effects. Climate change, a major threat to sustainable development, impacts the environment, economy, natural resources, food security, human health, and physical infrastructure globally. Bangladesh stands out among affected nations due to geographical and socio-economic vulnerabilities. Despite its vulnerability, Bangladesh has successfully mitigated the impact of extreme events over the years. This study focuses on examining climate change, its outcomes, and mitigation initiatives in Bangladesh. It endeavors to offer a comprehensive analysis of the current climate scenario in Bangladesh, delving into pivotal trends, impacts, adaptation strategies, and evaluating the effectiveness of national policies, legal frameworks, involvement of local governments, non-governmental organizations, and international collaborative efforts in developing an efficient disaster risk reduction and anticipatory action system. Despite achievements, safeguarding the livelihoods and properties of vulnerable communities from disaster-induced loss and damage remains a challenge. Additionally, addressing past adaptation failures is crucial. The paper highlights the necessity to enhance disaster risk reduction, green economy, promote economic development, implement government policies, and bolster anticipatory action systems, emphasizing the pivotal role of establishing a locally led climate-resilient system in addressing these challenges.