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Topology optimization is a method used for developing optimized geometric designs by distributing material pixels in a given design space that maximizes a chosen quantity of interest (QoI) subject to constraints. The purpose of this study is to develop a problem-agnostic automatic differentiation (AD) framework to compute sensitivities of the QoI required for density distribution-based topology optimization in an unstructured co-located cell-centered finite volume framework. Using this AD framework, the authors develop and demonstrate the topology optimization procedure for multi-dimensional steady-state heat conduction problems.

Topology optimization is performed using the well-established solid isotropic material with penalization approach. The method of moving asymptotes, a gradient-based optimization algorithm, is used to perform the optimization. The sensitivities of the QoI with respect to design variables, required for optimization algorithm, are computed using a discrete adjoint method with a novel AD library named residual automatic partial differentiator (Rapid).

Topologies that maximize or minimize relevant quantities of interest in heat conduction applications are presented. The efficacy of the technique is demonstrated using a variety of realistic heat transfer applications in both two and three dimensions, in conjugate heat transfer problems with finite conductivity ratios and in non-rectangular/non-cuboidal domains.

In contrast to most published work which has either used finite element methods or Cartesian finite volume methods for transport applications, the topology optimization procedure is developed in a general unstructured finite volume framework. This permits topology optimization for flow and heat transfer applications in complex design domains such as those encountered in industry. In addition, the Rapid library is designed to provide a problem-agnostic pathway to automatically compute all required derivatives to machine accuracy. This obviates the necessity to write new code for finding sensitivities when new physics are added or new cost functions are considered and permits general-purpose implementations of topology optimization for complex industrial applications.

The purpose of this paper is to present and solve the problem of adaptive beamforming (ABF) for a uniform linear array (ULA) as an optimization problem. ABF mainly concerns with estimation of weights of antenna array so as to direct the major lobe in the direction of desired user and nulls in the direction of interfering signals with reduced side lobe level (SLL).

The potential of gravitational search algorithm is explored to optimize multi-objective fitness function for ABF using MATLAB software.

The performance of the algorithm has been compared by considering different number of interference signals at different power levels. The proposed algorithm presents good convergence rate and accurate steering of main lobe and nulls with reduced SLL compared to the well-known ABF technique, namely, minimum variance distortionless response (MVDR) and previously reported results. The simulation results are presented in tabular form.

The present work is limited to simulation. The researchers are encouraged to solve the problem of ABF using the proposed approach in hardware.

The application of proposed algorithm is to optimize multi-objective function for ABF with reduced SLL in linear antenna arrays.

Buildings require significant energy, and meeting energy demands is becoming exceedingly challenging. Energy demand reduction goals are now prioritised as the demand is rising. Energy-saving improvements and opportunities can be provided if enough information is provided through building energy benchmarking. The study focuses on developing a framework for benchmarking the energy efficiency of residential buildings.

This study applied multiple linear regression analysis to analyse the energy use of residential buildings and establish energy benchmarks. Over 2000 data from Jaipur city were surveyed, and regression analysis was done on 1527 datasets after fundamental statistical analysis. The research considered the significant energy used by household appliances and placed a greater emphasis on end-use appliances.

The comparison of the developed framework with the standard rating plan was carried out to evaluate the accuracy of the benchmarks. The validation of the model determines the gap between the predicted and actual value of the building energy. The recommendations were made for organisations and policymakers to employ multiple or combinations of methods to assess the reliability of the developed benchmark framework.

Policymakers may promote awareness campaigns encouraging homeowners to consume less energy and make buildings more energy efficient. This technique may be applied worldwide with the proper and suitable adjustments and information provided.

To our knowledge, India needs residential building energy benchmarking framework studies. In addition, a new framework based on Composite Indicators was implemented to overcome the scepticism of the EPI/BPI or floor-based approach held by several academics and to offer energy benchmarking for residential buildings.

The learning objectives of this case are as follows: identify and understand the major challenges/problems faced by a social enterprise in promoting handicraft business; examine the value chain architecture of handicraft products; assess the role of the protagonist (Sanjay) as a social change agent in shaping a successful social enterprise; assess Sahaj Crafts' initiatives and analyze whether the key intervention/s planned/executed were required for skilling up of rural artisans and upgradation of handicraft business; know the marketing strategies for handicraft products; and understand the “strategies” which need to be applied for uplifting people's lives at the bottom of pyramid in general and for enlivening of artisans’ clusters in particular. The outcomes are as follows: examining the value chain architecture of handicraft product; understanding the difficulties and challenges of structuring a viable social business model; examining the role of Sanjay as a social change agent in shaping a successful social enterprise; and examining the model of Craft Incubation Center and design education proposed by Sahaj Crafts for improving rural artisans’ livelihood and skills upgradation.

Sanjay Joshi – the promoter and CEO of “Sahaj Crafts” (a social enterprise established in Western Rajasthan, India), an initiative to strengthen indigenous skills and mainstream rural craft products and artworks – is faced with the question of how to scale up his organization’s operations. Doing so requires that he address these fundamental challenges in terms of – how to deal with unorganized craft communities; match up product orientation to market demands; integrate modern technology / processes in craft business; combat restricted mobility of women artisans; and make effective interventions so that the artisans learn and enjoy working in the current model and solve the financial issues faced by the social enterprise. Providing effective and implementable answers to those questions is vital to Sahaj Craft’s development in attaining its mission to alleviate poverty in the region. Failing to expand operations above a critical scale may leave Sahaj Crafts vulnerable in meeting sufficient demand for contemporary craft products in the mainstream markets.

This case study is primarily suitable for post-graduate level management students to teach the concepts of designing and operationalizing a “social” business model in a social entrepreneurship module. This case study can also be used for highlighting business model innovations in the social sector of emerging markets. The case could be taught in the following academic domains: social entrepreneurship; bottom of the pyramid; social inclusion; supply chain consolidation (vertical integration in a value chain); marketing strategies for handicraft products; branding; brand positioning; cost and management accounting.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 3: Entrepreneurship

The construction industry worldwide is looking for overall efficiency in the entire project life cycle. Lean construction and Building Information Modeling (BIM) are together, key constituents in this quest. This study looks to reinforce the contribution of BIM to deliver applied lean principles to enhance productivity and performance.

The study adopts mixed methodologies of Ethnographic Action Research (EAR) and crisp set Qualitative Comparative Analysis (csQCA). The mosaic of case studies provides a descriptive and instrumental approach. While a descriptive approach investigates the interventions and phenomenon relating BIM to Lean, an instrumental approach constitutes exemplars of the interrelated phenomenon of BIM and Lean.

The themes of Elimination of Waste, Kaizen, Respecting the Human Elements, Poke-a-Yoke and Jidoka are contributed to the maximum by BIM. All the case studies discussed evidence of the contribution to Lean, as they enhance end-customer value.

The contribution of BIM towards Lean could encourage collaborations amongst stakeholders for mutual benefits. BIM could enhance decision making, predictive simulation, risk analysis, etc. with many other exciting possibilities of delivering productivity and performance. The study is limited by the insights offered by the individual cases.

The study provides insights into potential developments and research. It is expected to encourage reflective professional practice triggered by innovative thinking for the gainful utilization of BIM to deliver Lean.

The purpose of this paper is to investigate capacity coordination in services supply chain (SSC). It provides discussion and application of various contracts in a two-stage single period SSC.

This paper considers a two-stage serial supply chain with demand uncertainty and price insensitivity. A model is developed to represent a global IT SSC incorporating services specific factors like over-capacity cost and higher degree of substitution resulting in flexibility to meet unplanned demand. At first, centralized and competitive solutions of the model are studied. Then, the paper studies coordination in this supply chain using some of widely used contract templates.

This paper finds several key insights for the researchers and practitioners in this area around adverse impact of over-capacity cost on demand, positive effect of delivery team’s exposure to market on contracting terms and better understanding of efficient frontiers for selected contracting mechanism.

This paper has limited its analysis to three key and most widely used contracts and made assumptions about risk-neutrality of the firms. Future research can study other contracting templates and/or relax for the model as laid out in this paper.

An automated software agent can be built leveraging the closed form equations developed here to help decide on optimal capacity investment and devise coordinating contracts.

This paper established that because of higher degree of substitution, perishability and non-trivial over-capacity cost, SSC behave bit differently than the physical goods supply chain and coordination of participating firms needs to be studied in a services specific context for improving system-wide performance.

AutoDx Case narrates an exciting story of how organizations in one industry (buyers, suppliers, and suppliers of suppliers), who fiercely compete with each other in the marketplace, collaborated to develop an online platform which would bring in significant efficiency in the system and benefit all the players. The case shows that first attempt to develop such a platform failed in the late 90s. However, similar attempt, later on, was inching towards success. That shows the impact of timing of technology and Shared Beliefs. While Case A narrates the problems faced by a few managers and needs for autoDx, Case B details how the project became successful and was under the process of adoption by various organizations.

As there is inclusive evidence on relationship between board characteristics and firm performance in the Thai context, and mixed findings of this relationship are usually reported from previous studies, this study tries to clarify a reason for the mixed finding by determining the impact of board structures on different quantile levels of firm performance. Building on extant literature and using a developed econometric technique, the Quantile Analysis, on a sample of 446 listed firms in Thailand for a 15-year period ranging from 2000 to 2014, empirical evidence is provided which is consistent with prior studies that some characteristics of the board as the core mechanisms of corporate governance, i.e., board independence, board size, board meeting frequency, and dual role leadership on board, have significant influence on performance of Thai firms. In particular, when considering different quantile levels of firm performance, board structures are found to have different effects across quantile of performance distribution. Board independence and dual role leadership on board are found to have a significant influence on only moderate-performing firms, while board size and board meeting frequency are revealed as having significant impact on only firms with high-performance which need more effectiveness of the board in overseeing and supervising decision-making of the executives. Thus, these findings indicate that considering different quantile levels of firm performance for the board structures and performance relationship should be a reason of previous mixed findings. Moreover, the findings should be important information in encouraging better understanding an optimal governance system in Thailand for related stakeholders such as policymakers, corporate firms, and investors.

Over last few years, a major innovation known as blockchain technology has emerged as potentially one of the most disruptive technology of recent times. The purpose of this paper is to identify and analyze various critical success factors (CSFs) that can facilitate success of blockchain-based cloud services. Further, this paper aims to analyze and understand mutual interactions among these CSFs.

In this paper, 19 CSFs have been identified through literature review and expert opinions. The hierarchical framework developed using total interpretive structural modeling has revealed the inter-dependencies among these CSFs. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework. This research further categorizes CSFs into multiple clusters based on their driving power and dependence power.

This paper has identified 19 CSFs, namely, user engagement, industry collaboration, rich ecosystem, blockchain technology standardization, regulatory clarity, cost efficiency, energy efficiency (wasted resources), handling blockchain bloat, miner incentives, business case alignment to blockchain capability, sidechains development, blockchain talent pool availability, leadership readiness for a decentralized consensus based technology, technology investment and maturity, trust on blockchain networks, integration with other cloud services, robust and mature smart contracts platform, blockchain security and user control on data (privacy). Further, driver and dependent variables have been identified.

Future research can discover and detail the sub-factors behind the 19 CSFs identified in this paper. Additionally, more work can be done to extend the current structural model for blockchain-based services to a more functional form.

It provides a comprehensive list of CSFs that are relevant for development of blockchain-based cloud services. This will help industry leaders to strategically focus on the main drivers that will ensure that businesses get maximum benefit of this disruptive technology.

This study makes a significant contribution in the literature of blockchain-based cloud services, which captures the perspective of different stakeholders. This study is one of the first (if not the first) systematic research on adoption of blockchain-based services. It creates the foundation to carry out further research in this area.

This paper aims to show that the experience of workers on the margins of international business is akin to the funeralesque. The funeralesque is understood as the appropriation of the value generated by workers across the production networks of international business.

Drawing from the engagement with crematorium workers, the narratives of workers are articulated, describing the insecurities and injustices experienced by them. The authors draw from six-month-long qualitative engagement with seven workers in a crematorium in Ahmedabad, India.

The experience of marginal subjects provides important insights into how international business, in conjunction with states, structures inequality for marginal subjects. Precariousness, social exclusion, low wages and subjectivities of humiliation are the experiences of marginal subjects. The reproduction of marginality in globalising cities is an important element of the funeralesque through which extraction and re-distribution of value across international networks is legitimised.

In understanding international business as the funeralesque, the authors demystify the power relations constituted by it. The authors provide a metaphor for dethroning the legitimacy of international business and indicate that its modern practices are similar to the practices of value appropriation that occur in a funeral.

The authors develop the metaphor of the funeralesque to gain insights into the experiences of workers on the margins of international business. The authors are, thus, able to theorise the underbelly of globalising cities in a poetic, subversive way.