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Madan Mohanka set up Tega Industries Ltd. in 1976 to manufacture abrasion-resistant rubber mill lining products used in the mining and mineral processing industries. In 2011, as part of its inorganic expansion strategy, Tega bought a company in Chile. However, post-acquisition, several managerial, legal and commercial problems crept up in its manufacturing facilities in Chile, leading to financial downturn in Tega's fortunes in 2016 and compelling it to planning a revival between 2016-19. However, political unrest and Covid 19 uncertainty has caused a dilemma related to further investments worth INR 1.25 billion. Management is contemplating the next steps.

Madan Mohanka set up Tega Industries Ltd in 1976 to manufacture abrasion-resistant rubber mill lining products used in the mining and mineral processing industries. In 2006, as part of its inorganic expansion strategy, Tega bought a mill-liner company in South Africa. Buoyed by this growth, two acquisitions were made in Australia and Chile in the year 2011. However, post-acquisition, several managerial, legal and commercial problems crept up in its manufacturing facilities in Chile, leading to financial downturn in Tega's fortunes in 2016 and compelling it to either plan a revival or divest its interest in its Chilean Plant.

The purpose of this study is to discover the elements that affect the new technology utilization by auto parts’ micro-, small- and medium-sized enterprises (MSMEs) in northern India.

Based on the literature and professional reviews, 75 critical factors were identified on the basis of that affecting technology utilization in the auto parts-manufacturing MSMEs in Punjab. A survey was conducted in 113 auto parts industries (MSMEs) in Punjab. Descriptive statistics and factors analysis (principle component analysis) in SPSS software was used to examine the data.

After the analysis, 56 prominent factors were presented those are affecting the technology utilization in auto parts industry. After the study, 23 factors were identified, which explains the variance of 74.99 per cent of the total data. Most important factors for new technology utilization in MSMEs in Punjab are proper understanding of current operation and availability of professional consultant, problems with the compatibility of equipment and fear of layoffs, and the least important factors are volume flexibility and maintenance expenses.

These results deliver valuable perceptions into the awareness of by what means technology utilization has taken place in MSMEs.

The present work delivers beneficial strategies to MSMEs facing ups and downs because of their industry atmosphere.

This research adds to the literature on technology utilization and aids MSMEs in improving themselves for the excursion ahead.

In this chapter, I explore two media texts, Imtiaz Ali's Highway and Alankrita Shrivastava's Netflix original series Bombay Begums (2021). I contend that recent filmmakers have begun to arguably reframe the narratives of rape victim-survivors and disrupting the cultural of silence described above. They offer progressive and multi-faceted representations of these experiences, such that there is an opportunity for a dialogue within both private and public spheres. What I mean when I say that they are ‘progressive representations’ is that the rape victim-survivors are not merely reduced to helpless women in distress, nor painted as vengeful, aggressive characters. Instead, their characterisation shows that they have agency and autonomy, but at the same time struggle with the repercussions of speaking out against their perpetrators in a society that does not support them wholly.

The numerical methods are of great importance for approximating the solutions of a system of nonlinear singular ordinary differential equations. In this paper, the authors present the biorthogonal flatlet multiwavelet collocation method (BFMCM) as a numerical scheme for a class of system of Lane–Emden equations with initial or boundary or four-point boundary conditions.

The approach is involved in combining the biorthogonal flatlet multiwavelet (BFM) with the collocation method. The authors investigate the properties and procedure of the BFMCM for first time on this class of equations. By using the BFM and the collocation points, the method is constructed and it transforms the nonlinear differential equations problem into a system of nonlinear algebraic equations. The unknown coefficients of the assuming solution are determined by solving the obtained system. Additionally, convergence analysis and numerical stability of the suggested method are provided.

According to the attained results, the proposed BFMCM has more accurate results in comparison with results of other methods. The maximum absolute errors are calculated by using the BFMCM for comparison purposes provided.

The key desirable properties of BFMCM are its efficiency, simple applicability and minimizes errors. Therefore, the proposed method can be used to solve nonlinear problems or problems with singular points.

Building information modelling (BIM) is increasingly being adopted during construction projects. Design and construction practices are adjusting to the new system. BIM is intended to support the entire project life-cycle: the design and construction phases, and also facility management (FM). However, BIM-enabled FM remains in its infancy and has not yet reached its full potential. The purpose of this paper is to identify major aspects of BIM in order to derive a fully BIM-enabled FM process.

In total, 207 papers were classified into main and subordinate research areas for quantitative analysis. These findings were then used to conceptualise a BIM-enabled FM framework grounded by innovation diffusion theory for adoption, and for determining the path of future research.

Through an extensive literature review, the paper summarises many benefits and challenges. Major aspects of BIM are identified in order to describe a BIM-enabled FM implementation process grounded by innovation diffusion theory. The major research areas of the proposed framework include: planning and guidelines; value realisation; internal leadership and knowledge; procurement; FM; specific application areas; data capture techniques; data integration; knowledge management; and legal and policy impact. Each element is detailed and is supported by literature. Finally, gaps are highlighted for investigation in future research.

This paper systematically classifies and evaluates the existing research, thus contributing to the achievement of the ultimate vision of BIM-enabled FM. The proposed framework informs facility managers, and the BIM-enabled FM implementation process. Further, the holistic survey identifies gaps in the body of knowledge, revealing avenues for future research.

The main purpose of this paper is to investigate the relationships between seven antecedent factors (R&D strategy, top management support (TMS), customer focus (CF), organizational learning capability (OLC), creative capability (CC), organizational collaboration (OC), and supplier relationship (SR)), two innovation types (product and process), and firm performance (FP).

The paper formulates 16 hypotheses from the literature review. These hypotheses are tested using structural equation modeling with data collected from 270 managers of small and medium‐sized enterprises (SMEs) located in Turkish science and technology parks (STPs).

The findings indicate that both of product and process innovation have a strong and positive association with FP. While antecedents such as R&D strategy, TMS, CF, CC, and SR have significant impact on product innovation, other antecedents such as OLC and OC have a significant and positive impact on process innovation.

The results of this study could be used by any managers of SMEs located in STPs to improve successful innovation projects. The results also provide companies operating in Turkish STPs with useful information on how their policies and actions might affect firm innovation.

The paper provides a clarification of the reasons that may be behind a positive, a negative, or a non‐significant effect of the many antecedents on the product and process in SMEs located in Turkish STPs.

After completion of the case study, the participants would be able to understand the challenges in building a sustainable homestay tourism business; develop a positioning statement for La Pinekonez which builds a unique competitive advantage; and outline elements of the business strategy to profitably sustain and grow a sustainable tourism homestay in terms of service offering, pricing, marketing and operations.

La Pinekonez Homestay, located in the beautiful region of Himachal Pradesh, India, is the subject of this case study, which explores both its successes and its difficulties. In August 2022, Arvind, the dedicated sole proprietor of La Pinekonez, grappled with multifaceted challenges, the first being the foray of established hotel chains into the homestay business. As the protagonist, was is in dilemma of preserving La Pinekonez’s unique identity amidst corporate competitors, particularly with regards to differentiating from the expanding hotel chains. The clash between customer expectations for hotel-like amenities and the homestay’s commitment to sustainable tourism presented a crucial challenge. Negative reviews questioning the authenticity of La Pinekonez’s green initiatives heightened the complexity. Adding to Arvind’s predicament were the seasonal fluctuations in tourist inflow and his aspiration to embrace immersive tourism trends. This case study facilitates exploration of strategic positioning, sustainability management and marketing strategies in the dynamic and competitive hospitality industry. It also offers insights into the complexities of balancing differentiation, customer satisfaction and sustainability while navigating the evolving landscape of tourism trends.

This case study is suitable for students of tourism and hospitality management at postgraduate level. The case study can be discussed once the basic concepts of hospitality management and service dimensions are covered.

Teaching notes are available for educators only.

CCS 12: Tourism and hospitality.

Economic load dispatch (ELD) is one of the crucial optimization problems in power system planning and operation. The ELD problem with valve point loading (VPL) and multi-fuel options (MFO) is defined as a non-smooth and non-convex optimization problem with equality and inequality constraints, which obliges an efficient heuristic strategy to be addressed. The purpose of this study is to present a new and powerful heuristic optimization technique (HOT) named as squirrel search algorithm (SSA) to solve non-convex ELD problems of large-scale power plants.

The suggested SSA approach is aimed to minimize the total fuel cost consumption of power plant considering their generation values as decision variables while satisfying the problem constraints. It confers a solution to the ELD issue by anchoring with foraging behavior of squirrels based on the dynamic jumping and gliding strategies. Furthermore, a heuristic approach and selection rules are used in SSA to handle the constraints appropriately.

Empirical results authenticate the superior performance of SSA technique by validating on four different large-scale systems. Comparing SSA with other HOTs, numerical results depict its proficiencies with high-qualitative solution and by its excellent computational efficiency to solve the ELD problems with non-smooth fuel cost function addressing the VPL and MFO. Moreover, the non-parametric tests prove the robustness and efficacy of the suggested SSA and demonstrate that it can be used as a competent optimizer for solving the real-world large-scale non-convex ELD problems.

This study has compared various HOTs to determine optimal generation scheduling for large-scale ELD problems. Consequently, its comparative analysis will be beneficial to power engineers for accurate generation planning.

To the best of the authors’ knowledge, this manuscript is the first research work of using SSA approach for solving ELD problems. Consequently, the solution to this problem configures the key contribution of this paper.

The findings of this study have lightened the focal research areas in maintenance planning and scheduling. These also served as effective guidelines for future studies in this area. This research, therefore, contributes in fulfilling the gap by carrying out an SLR of contemporary research studies in the area of models for maintenance planning and scheduling. At present, SLR rooted in BA has not been carried focusing on a survey over models for maintenance planning and scheduling. SLR uses advanced scientific methodologies from BA tools to unveil thematic structures.

We have systematically reviewed over 1,021 peer-reviewed journal articles. Advanced contemporary tools from Bibliometric Analysis (BA) are used to perform a Systematic Literature Review (SLR). First, exploratory analysis is presented, highlighting the influential authors, sources and region amongst other key indices. Second, the large bibliographical data is visualized using co-citation network analyses, and research clusters (themes) are identified. The co-citation network is extended into a dynamic co-citation network and unveils the evolution of the research clusters. Last, cluster-based content analysis and historiographical analysis is carried out to predict the prospect of future research studies.

BA tools first outlined an exploratory analysis that noted influential authors, production countries, top-cited papers and frequent keywords. Later, the bibliometric data of over 1,021 documents is visualized using co-citation network analyses. Later, a dynamic co-citation analysis identified the evolution of research clusters over time. A historiographical direct citation analysis also unveils potential research directions. We have clearly observed that there are two main streams of maintenance planning and scheduling applications. The first has focused on joint maintenance and operations on machines. The second focused on integrated production and maintenance models in an echelon setting for unrealizable production facilities.

There are many literature review-based research studies that have contributed to maintenance scheduling research surveys. However, most studies have adopted traditional approaches, which often fall short in handling large bibliometric data and therefore suffer from selection biases from the authors. As a result, in this area, the existing reviews could be non-comprehensive. This study bridges the research gap by conducting an SLR of maintenance models, which to the best of our knowledge, has not been carried out before this study.