Search results

The adoption of the design thinking approach (DTA) within organizations is crucial for generating creative and innovative solutions to complex business and societal problems. However, the integration of DTA into organizational practices is progressing slowly and needs immediate attention. Numerous interrelated and interdependent barriers hinder the integration of DTA into organizational practices. This study aims to identify and categorize barriers to DTA adoption within organizations into cause and effect (C–E) groups.

Barriers to the implementation of DTA were identified through a comprehensive literature review and semi-structured interviews with eight professionals to gather insights into real world barriers. The study follows the resource-based view (RBV) theory to identify the barriers. Following this, the decision making trial and evaluation laboratory (DEMATEL) method was applied to categorize the barriers into C–E groups.

The study identifies 18 barriers to DTA adoption within organizations in the Indian context. The results revealed that the most prominent barrier to the DTA implementation within organizations is the misfit with existing processes and structures, followed by weak organizational culture and difficulties in implementing the idea. Our findings suggest that managers should champion the adoption process. This will help in motivating employees and fostering a culture of design thinking in the organization. Organizations need an open mindset and should give employees more opportunities to experiment. There is an immediate need for measures that enable better collaboration between business organizations and educational institutions, including universities, to promote DTA.

The findings of the study will help the organizations and decision-makers in expediting the adoption of DTA within their organizations. The results categorize the barriers into C–E groups, allowing organizations to take appropriate measures to address the cause group barriers and minimize the impact of the effect group barriers.

This study is the first of its kind to utilize the RBV theory in identifying and classifying barriers to DTA adoption within Indian organizations. However, the findings are also applicable to other countries with similar business environments.

The aim of this study is to offer valuable insights to businesses and facilitate better understanding on transformer-based models (TBMs), which are among the widely employed generative artificial intelligence (GAI) models, garnering substantial attention due to their ability to process and generate complex data.

Existing studies on TBMs tend to be limited in scope, either focusing on specific fields or being highly technical. To bridge this gap, this study conducts robust bibliometric analysis to explore the trends across journals, authors, affiliations, countries and research trajectories using science mapping techniques – co-citation, co-words and strategic diagram analysis.

Identified research gaps encompass the evolution of new closed and open-source TBMs; limited exploration across industries like education and disciplines like marketing; a lack of in-depth exploration on TBMs' adoption in the health sector; scarcity of research on TBMs' ethical considerations and potential TBMs' performance research in diverse applications, like image processing.

The study offers an updated TBMs landscape and proposes a theoretical framework for TBMs' adoption in organizations. Implications for managers and researchers along with suggested research questions to guide future investigations are provided.

This study aims to examine the reuse of plastic and fly ash (FA) to improve the soil and achieve sustainable development goals.

Sand from the Anzali port was reinforced with Geopet (GP) and stabilized with FA plus 3% sodium hydroxide. The GP was placed in FA-stabilized soil and the California bearing ratio (CBR), and unconfined compressive strength (UCS) tests were performed on samples at the optimum moisture content.

The results showed that the improvement in the optimum CBR was 174.9%. The UCS increased 15.25% and 48.65% in soil reinforced with three layers of GP plus 15% FA over those containing 10% and 5% FA, respectively. Additionally, the current analysis used response surface methodology (RSM) to investigate the impact of FA percentage, GP layers and their interaction on CBR. The results highlight the efficacy of the used RSM model, as evidenced by the significantly low p-value (<0.0001).

This demonstrates the suitability and effectiveness of RSM for evaluating CBR in this scientific study.