IOSR-JBM   Volume-28 ~ Issue-5 ~ May 2026

Abstract: Purpose This study aims to reconceptualize industrial development as a decision-centric process by examining how an operational decision architecture can improve manufacturing performance, accountability, and adaptive capacity. Rather than focusing on policy instruments or sectoral choices, the research investigates how the design of industrial decision systems shapes outcomes over time. Design/Methodology/Approach The study adopts a design-oriented and applied analytical approach. It develops an operational decision architecture and evaluates....

Keywords: Decision architecture; Industrial governance; Manufacturing development; Accountability; Applied accounting; Egypt

[1]. Acemoglu, D., & Robinson, J. A. (2023). The Narrow Corridor Revisited: States, Societies, And The Fate Of Liberty. Penguin Press.
[2]. Aguinis, H., Ramani, R. S., & Alabduljader, N. (2024). What You See Is What You Get? Transparency And Rigor In Management Research. Academy Of Management Perspectives, 38(1), 1–15. Https://Doi.Org/10.5465/Amp.2022.0123
[3]. Ahlqvist, T., & Rhisiart, M. (2022). Emerging Pathways Of Foresight And Scenario Planning. Futures, 140, 102933.
Https://Doi.Org/10.1016/J.Futures.2022.102933
[4]. Aiginger, K., & Rodrik, D. (2020). Rebirth Of Industrial Policy And An Agenda For The Twenty-First Century. Journal Of Industry, Competition And Trade, 20(2), 189–207. Https://Doi.Org/10.1007/S10842-019-00322-3
[5]. Andreoni, A., & Chang, H.-J. (2021). The Political Economy Of Industrial Policy: Structural Interdependencies, Policy Alignment And Conflict Management. Structural Change And Economic Dynamics, 59, 136–150.
Https://Doi.Org/10.1016/J.Strueco.2021.08.003

Abstract: This study presents an extensive assessment of the performance of homestays in Shimla District of Himachal Pradesh, particularly their performance dynamics and the socio-economic dimensions along with their relevance to the CBT (Community-Based Tourism) of Himachal Pradesh. The study adopts a quantitative approach in which the data collected from 160 homestay owners has been analyzed statistically. The results of the study highlight that the growth rate in the homestays is quite high; however, there are some socio-demographic.....

Keywords: Homestay Tourism, Community-Based Tourism, Sustainable Tourism, Operational Demography and Tourism Policy Compliance

[1]. Acharya, B. P., & Halpenny, E. (2017). Sociocultural Sustainability Of Small Tourism Enterprises: Observations From Ghalegaon’s Community Based Homestays. Journal Of Tourism And Hospitality Education, 7, 1–24.
Https://Doi.Org/10.3126/Jthe.V7i0.17687
[2]. Arafat, A., Syahrir, S. N., &Triani, N. (2022). Implementation Of The Tourism Park Development Program In Unamendaa Village. Sign Journal Of Social Science, 3(1), 55–74. Https://Doi.Org/10.37276/Sjss.V3i1.322
[3]. Bachok, S., Amin, T. A. T. M., & Rahman, S. A. A. (2018). IN PURSUIT OF ECONOMICALLY COMPETITIVE AGRO-TOURISM SECTOR: THE CASE OF TERENGGANU HOMESTAY, MALAYSIA. PLANNING MALAYSIA, 16(6). Https://Doi.Org/10.21837/Pmjournal.V16.I6.471
[4]. Bachok, S., Hasbullah, H., & Amin, T. A. T. M. (2019). RURAL AGRO-TOURISM AND LOCAL COMMUNITY INCOME: THE CASE STUDY OF CLUSTERED HOMESTAYS IN KELANTAN AND TERENGGANU. PLANNING MALAYSIA, 17(9). Https://Doi.Org/10.21837/Pmjournal.V17.I9.592
[5]. Cerović, Z., Milohnić, I., &Kvasić, S. G. (2014). Entrepreneurial Management Of Private Accomodation In Times Of Crisis: A Comparative Approach. Tourism And Hospitality Management, 20(1), 15–28. Https://Doi.Org/10.20867/Thm.20.1.2..

Abstract: Human resource (HR) management has evolved into a strategic, data-centric function where predictive analytics plays a critical role in enhancing workforce stability, productivity, and long-term organizational performance. Traditional HR risk assessment approaches rely heavily on descriptive metrics and retrospective evaluations, which often fail to anticipate employee attrition, performance decline, and engagement risks in a timely manner. This limitation.....

Keywords: Predictive Analytics, Human Resource Management, Talent Optimization, Risk Modeling, Workforce Intelligence, Machine Learning

[1]. Olayinka, Olalekan Hamed. "Leveraging Predictive Analytics And Machine Learning For Strategic Business Decision-Making And Competitive Advantage." International Journal Of Computer Applications Technology And Research 8.12 (2019): 473-486.
[2]. Al-Shammari, Minwir, Et Al. "Big Data And Predictive Analytics For Strategic Human Resource Management: A Systematic Literature Review." International Journal Of Computing And Digital Systems 17.1 (2024): 1-9.
[3]. Oladele, Oluwaseyi Kolawole. "Performance Management Analytics: Using AI To Analyze Employee Performance Data And Inform Development And Rewards Programs." 15 Aug. 2024,
[4]. Ezeafulukwe, Catherine, Chinenye Gbemisola Okatta, And Latifat Ayanponle. "Frameworks For Sustainable Human Resource Management: Integrating Ethics, CSR, And Data-Driven Insights." Journal Of Sustainable Management And Practices (2022).
[5]. Bonthu, Chandra. "Leveraging Predictive Analytics For Data-Driven Decision-Making In Enterprise Systems." Frontiers In Emerging Computer Science And Information Technology 1.01 (2024): 69-93..

Abstract: The River Contract can be interpreted as one of the most promising instruments for making Nature-based Solutions operational in riverine territories, provided that its nature is not confused with that of the material interventions it may promote. A wetland, a riparian buffer, a phytoremediation system, a rain garden, a drainage trench or a natural flood storage area can be considered Nature-based Solutions in a physical, ecological and design sense; the River Contract operates on a different plane, because it builds the institutional, organisational and social conditions through which such solutions can be selected, designed, financed, implemented...

[1]. Bretzel, F. (2026). La Norma Tecnica Europea EN 18140 “Nature-Based Solutions (Nbs) – Terminology And Classification” [The European Technical Standard EN 18140 “Nature-Based Solutions (Nbs) – Terminology And Classification”] [Presentation]. Consiglio Nazionale Delle Ricerche, Istituto Di Ricerca Sugli Ecosistemi Terrestri; UNI/CT 058/GL 02; CEN/TC 465/WG 01.
[2]. UNI Ente Italiano Di Normazione. (2022). La Transizione Delle Città Verso La Sostenibilità [The Transition Of Cities Towards Sustainability]. UNI.
[3]. Capezzuto, P. (2026). La Normazione Tecnica UNI, CEN Ed ISO Dedicata Alla Sostenibilità Urbana [UNI, CEN And ISO Technical Standardisation For Urban Sustainability] [Presentation]. Commissione Tecnica UNI/CT 058 “Città, Comunità E Infrastrutture Sostenibili”.
[4]. ENEA, & UNI. (2025). UNI 11973:2025 | Città, Comunità E Infrastrutture Sostenibili. Il Contributo Degli Edifici Alla Sostenibilità. Modello Metodologico Per L’integrazione E L’interconnessione Degli Edifici Sostenibili Nelle Città [UNI 11973:2025 | Sustainable Cities, Communities And Infrastructures. The Contribution Of Buildings To Sustainability. Methodological Model For The Integration And Interconnection Of Sustainable Buildings In Cities] [Event Programme]. UNI.
[5]. International Organization For Standardization. (2020). ISO 37155-1:2020: Framework For Integration And Operation Of Smart Community Infrastructures — Part 1: Recommendations For Considering Opportunities And Challenges From Interactions In Smart Community Infrastructures From Relevant Aspects Through The Life Cycle. ISO

Abstract: Background: Historically, any kind of technological change have always changed the previous way of doing things thus leading to many uncertainties and initial job loss. However, evidence shows that such changes typically involve both job displacement and job creation, leading to structural changes in the workforce. The arrival of Artificial Intelligence has also bought enormous changes in the operations of the Human Resource professionals....

Key Word: HR professionals, Artificial Intelligence, Job replacement, Job transformation, Change management

[1]. Javaid, M., Haleem, A., & Singh, R. P. (2023). A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities. Journal of Economy Technology, 1, 127–143.
[2]. Cappelli, P., Tambe, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. Academy of Management Perspectives, 33(2), 153–170. https://doi.org/10.5465/amp.2018.0062
[3]. Buzko, I., Dyachenko, Y., Petrova, M., Nenkov, N., Tuleninova, D., & Koeva, K. (2016). Artificial intelligence technologies in human resource development. Computer Modelling and New Technologies, 20(2), 26–29.
[4]. Jain, S. (2017). The engine driving the next wave of transformation in business. Proceedings of International Conference on Innovative Research in Science, Technology and Management.
[5]. Arora, M., Prakash, A., Mittal, A., & Singh, S. (2021). HR analytics and artificial intelligence transforming human resource management. In 2021 International Conference on Decision Aid Sciences and Application (DASA) (pp. 288–293). IEEE