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The purpose of this paper is to explore the antecedents of demand-side search in service strategy of manufacturing firms. In particular, this study examines whether service-oriented human resource management (HRM) practices promote demand-side search by enhancing firms’ market capability as well as how top management service commitment and service organizing moderates this relationship in manufacturing firms.

To test this research model, this study obtains survey data from two distinct informants of 279 manufacturing firms in China. Data were collected applying a standard questionnaire in a five-point Likert scale. The hypotheses are tested using hierarchical regression analysis and partial least squares.

Results show that service-oriented HRM practices can promote demand-side search by enhancing firms’ market capability. Furthermore, it is found that top management service commitment negatively moderates the relationship between service-orientated HRM practices and demand-side search, while service organizing positively moderates this relationship.

Depending on cross-sectional subjective data for the core variables and the choice of Chinese manufacturing firms limit the capacity to generalize the findings.

This research suggests that service-oriented HRM practices are important drivers of demand-side search activities and to take advantage of service-oriented HRM practices, firms should commit to market capability development. In addition, it is better to match service-oriented HRM practices with other service-oriented organizational parameters such as top management service commitment and service organizing.

The study highlights the crucial role of service-oriented HRM practices in demand-side search, the mediating role of market capability and the moderating role of other service-oriented organizational parameters such as top management service commitment and service organizing. This study advances research on knowledge search, servitization and strategic HRM.

This paper integrates research on demand- and supply-side risk management practices to better explain how to achieve competitive advantage in dynamic business conditions. The purpose of this study is to develop a model linking supply chain flexibility, agility, robustness and resilience and to investigate its relationships and impact on business performance.

The authors conduct a review of existing literature to derive their hypotheses and operationalize the respective constructs. The formulated research model is then validated applying partial least squares structural equation modeling on survey data from 89 multi-national companies based in Europe.

The authors find a significant positive relationship between supply chain flexibility and supply chain agility as well as supply chain robustness and supply chain resilience, respectively. Additionally, it is argued that supply chain flexibility, agility and resilience have significant positive impact on individual dimensions of business performance.

The relationships between supply chain flexibility, agility, robustness, resilience and business performance are investigated and empirically validated altogether in a single model for the first time, providing a clear separation of these terms and shedding further light on the management of supply chain risks.

The learning outcomes of this study are to identify and discuss ways in which energy consumption in a residential educational institute can be reduced by improving demand-side energy management for sustainable development; summarise the challenges that an institute faces in transitioning to a more environmentally friendly mode of operations concerning energy management; illustrate the difference between operating expense and capital expenditure methods used for solar rooftop projects from the perspective of Goa Institute of Management (GIM); and analyse different project proposals for solar rooftop power generation energy using capital budgeting techniques.

Dr Ajit Parulekar, director at GIM, was evaluating the steps taken over the past few years for sustainable energy management to understand their impact and consider ways in which to take the environmental sustainability agenda forward. One of the projects that he was considering was the rooftop solar power plant. GIM had received proposals from several different vendors and evaluated three proposals out of these. He needed to decide on the capacity of the rooftop solar power generation and the type of contract that he should get into for the implementation of the project. This case study describes the differences and highlights the advantages and disadvantages of all the mentioned models with respect to GIM.

This case study is suitable for post-graduate level management students, as well as for undergraduate-level finance and management students.

Teaching notes are available for educators only.

CSS4: Environmental management.

Office buildings confront with the issue of high energy demand during the day time mainly due to heavy use of energy for HVAC and lighting systems. Demand-side energy retrofits (DSER) are identified as effective in controlling electricity demand of existing buildings. The purpose of this paper is to analyse the potential of incorporating DSER in to existing office buildings. The paper reports the cost benefits of using DSER in existing office buildings. Furthermore, it reveals several enablers that can be used to promote retrofits in office buildings of Sri Lanka.

An industry survey was conducted by selecting a sample of 35 office buildings to study the usage of DSER in office buildings of Sri Lanka. Furthermore, three case studies were conducted to analyse the costs benefits of widely used DSER techniques in office buildings.

Research revealed that the use of DSER techniques in existing office buildings of Sri Lanka is at a lower level. However, it found that the financial viability of those DSER was at a promising level. Furthermore, 11 enablers in two levels as organisational level and national level were identified to enhance the use of DSER.

The study justifies the potential of DSER in reducing energy demand of existing office buildings through in-depth cost benefit analysis, which is useful for a country like Sri Lanka which faces massive energy crisis. This encourages Facility Managers towards using DSER to reduce building energy demand. Furthermore, study provides enablers at organisational and national levels to enhance the use of DSER.

In the daily energy dispatch process in a power system, accurate short-term electricity load forecasting is a very important tool used by spot market players. It is a critical requirement for optimal generator unit commitment, economic dispatch, system security and stability assessment, contingency and ancillary services management, reserve setting, demand side management, system maintenance and financial planning in power systems. The purpose of this study is to present an improved grey Verhulst electricity load forecasting model.

To test the effectiveness of the proposed model for short-term load forecast, studies made use of Kenya’s load demand data for the period from January 2014 to June 2019.

The convectional grey Verhulst forecasting model yielded a mean absolute percentage error of 7.82 per cent, whereas the improved model yielded much better results with an error of 2.96 per cent.

In the daily energy dispatch process in a power system, accurate short-term load forecasting is a very important tool used by spot market players. It is a critical ingredient for optimal generator unit commitment, economic dispatch, system security and stability assessment, contingency and ancillary services management, reserve setting, demand side management, system maintenance and financial planning in power systems. The fact that the model uses actual Kenya’s utility data confirms its usefulness in the practical world for both economic planning and policy matters.

In terms of generation and transmission investments, proper load forecasting will enable utilities to make economically viable decisions. It forms a critical cog of the strategic plans for power utilities and other market players to avoid a situation of heavy stranded investment that adversely impact the final electricity prices and the other extreme scenario of expensive power shortages.

This research combined the use of natural logarithm and the exponential weighted moving average to improve the forecast accuracy of the grey Verhulst forecasting model.

Deepening supply-side structural reform is the main objective of the economic work since the Chinese economy entered a new stage of development. By adopting the fundamental principles and methodologies of Marxist political economy, the authors can provide clarifications on the three basic theoretical issues concerning the supply-side structural reform. The paper aims to discuss these issues.

First, the essential starting point for understanding the supply-side structural reform is the primacy of production, as well as the organic connection between production and consumption in social reproduction, rather than the supply and demand as superficially seen in exchanges. By identifying the right starting point, the authors can avoid alternating between demand and supply management, and between liberalism and interventionism.

Structural problems, which are closely related to the institutional structure of production and the purpose and nature of production, cannot be solely attributed to the imbalance caused by market failures. Chinese economy has suffered prolonged structural contradictions and structural problems.

To decide whether the financial and the real estate sectors are real economy or virtual economy, the key is to examine whether the monetary capital used in financial activities and real estate commodity (capital) go through the capital circulation process of from monetary capital to productive capital and further to commodity capital, and whether the capital gain is generated by the value appreciation of capital or the value transfer and distribution as a result of the transfer of ownership. With its emphasis on developing the real economy, the supply-side structural reform should foster both development of manufacturing, and parts of financial and real estate sectors that are the real economy.

Smart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.

This study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.

The results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.

The users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

This paper aims to examine the effect of communication, resources, disposition and bureaucratic structure to the success of energy subsidy policy, to examine the effect of moderation of variable scenario of renewable energy policy on the influence of communication, resources, disposition and bureaucracy structure on the success of energy subsidy policy.

This study was purposively (based on specific objectives) conducted in Jakarta, which is associated with the implementation and subsidy policy scenario, the study focused on the center of government, namely, the capital city, Jakarta. Collection of data in this research survey was conducted in June-August 2017. The sampling technique was proportional stratified random sampling that took up most of the 770 members of Masyarakat Peduli Energi dan Lingkungan and Masyarakat Energi Terbarukan Indonesia using a representative sample of results that have the ability to be generalized. Based on the formula Slovin (Solimun and Fernandes, 2017), a sample of 145 respondents was obtained. The research approach used was a quantitative with the analysis tool called the generalized structure component analysis.

This paper exhibited that all relationships between variables have a p-value of 0.05 except the third moderation and fourth moderation relationship. So it can be said that all relationships between variables are significant except the relationship between the variables of moderation to the relationship between the disposition variable (X3) on the successful implementation of subsidy policy (Y) and the relationship between the moderation variable to the relationship between bureaucracy structure variable (X4) to the successful implementation of subsidy policy.

The originality of the research refers to the following: The Policy Theory described by Edwards III (1980), and reinforced by the findings of Ratminto and Winarsih (2005), and Bloom et al. (2009), that communication, resources, dispositions and bureaucratic structures affect the success of the energy subsidy policy. This becomes the formulation of a hypothesized research problem whether communication, resources, disposition and bureaucratic structure affect the success of the energy subsidy policy. In fact, the conditions in Indonesia are quite different from the Western world, and the system in Indonesia has embraced subsidies. Therefore, this study also examines the moderating effects of renewable energy policy scenarios in the relationship between communication, resources, dispositions and bureaucratic structures on the success of the subsidy policy energy. Given that there is no strong theory that examines the effects of moderation of these four factors on the success of the energy subsidy policy. Therefore, as the development of Edward III Theory, this study examines the proposition of whether renewable energy policy scenarios reinforce or weaken (moderation effects) on the effects of communication, resources, dispositions and bureaucratic structures on the success of energy subsidy policies.

This paper aims to give an overview of supply chain collaboration practices and the way the underlying enabling technologies have evolved, from the classical EDI approach, to web‐based and RFID‐enabled collaboration.

The paper discusses alternative technological approaches and the role they play in supporting collaboration. The research presented in this paper is empirical in nature, based on three different case studies from the grocery retail sector depicting different aspects of implementing supply chain collaboration practices.

From the examination of these cases, interesting lessons are derived regarding the suitability and criticality of the technological approach used to support collaboration, especially regarding the use of a centralized web‐platform as compared to the classical EDI approach and to a decentralized solution based on web services.

Research is limited to the specific case studies and further validation of the research findings through qualitative and quantitative methods would be appropriate.

The paper provides support to practitioner regarding the selection of the appropriate technological approach to support collaboration. Furthermore, it gives insight regarding the maturity of current technologies in relation to collaboration requirements and to what extent can the technology be an enabler or a barrier in a collaboration initiative.

The paper links the technological and the supply‐chain collaboration perspective in order to derive interesting conclusions relevant to both academics and practitioners. The cases presented are quite unique and have not been widely studied, representing interesting and novel approaches to the way that technology has been employed to support collaboration practices.

The purpose of this paper is to present a case of an office building in England and show how the technology in energy efficiency in building will contribute to energy conservation.

The paper presents a case of an office building. The building is then modelled and analysed using IES Virtual Environment VE to estimate the Target Emissions Rate (TER) and the Building Emissions Rate (BER) to see how the building could satisfy Part L of the Building Regulations.

The building in case use various sustainable solutions such as limiting the heat loss and gain through the fabric, ventilation system with a good high heat recovery system, increasing the availability of daylight and good lighting control system. The office building in the case study is in full compliance with Part L of the Building Regulations. The sustainable technology in the building will assist the compliance with Part L of the Building Regulations.

This is a single case study building; more case studies for buildings of this nature are required.

The paper demonstrates various feasible solutions of sustainable technology in buildings that might help comply with the regulation.

The case study building is a real case taken directly from one of the author's projects when he was working as a building services engineer. This case study building and its sustainable features have not been presented before in an academic journal.