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This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

Performance measurement and management (PMM) literature is highly abundant with numerous PMM frameworks encapsulating various aspects of enterprise performance that are largely driven by enterprise viewpoint. Considering dynamic nature of Indian telecom industry where customers hold high bargaining power in the industry, flexible strategy game-card has been adopted as a theoretical basis. The purpose of this study is to capture an “outside-in view” of enterprise performance by incorporating performance measurement from customers’ perspective and highlight dual perspectives of performance, i.e. enterprise and customers’.

Rigorous empirical data analysis tools have been used on the data collated through opinion survey to develop strategic performance management model for Indian telecom service providers where mediation effects of customers’-based strategic factors have also been captured.

The findings emphasize the fact that financial performance indicators are outcome variables that are driven by the external environment, internal organizational structure and business processes. An effective performance management system (PMS) should consist enabling performance indicators (customers’ perspective) in addition to leading and lagging performance indicators that are widely discussed in the literature.

The set of performance indicators identified is in the context of Indian telecom service operators, which should be used in another context with full caution. The generalization of the empirically validated strategic performance management model in other country context is limited. However, the process of development of PMS could be taken as an example to replicate in any other context.

Measuring an enterprise performance from customers’ perspective is the major contribution of this study. With the diverse set of performance indicators, effective PMS can be developed and deployed where tangible measures act as lagging indicators, namely, situational and operational, strategic measures act as leading indicators, and subscribers’ crucial assessment measures act as enabling indicators.

Key performance indicators (KPIs) play a pivotal role in evaluating the level of success of an organization in achieving its business objectives. The objective of the current research is to identify and prioritize effective KPIs in branding products and construction projects, which contribute to the success of construction companies in a competitive environment.

The present research is of an inferential, descriptive and survey nature. In this study, we identified the influential key performance indicators of construction companies in branding products and construction projects for success in a competitive environment through a literature review and expert opinions. The data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy multiple attribute decision-making (FMADM) method was employed for analysis.

The results indicate that the most influential key performance indicators for construction companies in branding products and construction projects for success in a competitive environment are, in order of significance, the following indices: “Marketing and Advertising,” “Financial,” “Creativity,” “Technical and Operational” and “Social and Political.”

The present research examines the importance of branding construction products and projects for the success of construction companies by improving their business objectives and utilizing key performance indicators throughout the product lifecycle (production and construction). This study provides solutions on how construction companies can increase their competitive advantage through branding and achieve long-term success in the global construction industry.

The underlying purpose of this paper is to propose a comprehensive framework evaluating the performance of business units of an organization with a process perspective, identifying the most influential performance indicators, enabling managers to make more informed decisions based on data recording every day in their operational information systems.

For proposing the conceptual framework of performance evaluation a synchronized analysis of selected process' data, obtained from an integrated information system of an Iranian chain store, was performed.

The superiority of the proposed framework results is demonstrated in comparison to applying the process mining solely; principal component analysis was identified as an efficient link between process mining and data envelopment analysis. Also, based on the final data analytics, the units' throughput times and the variety of brands and suppliers had the most impact on their performances.

The data of abundant business units and performance indicators, which would have allowed adding data prediction and other data analytics techniques for more insight, was not able to be accessed.

Organizations' managers can use the framework to evaluate their business units' current status and then prioritize their resources based on the most influential performance indicators for overall improvement.

The study contributes to the research on performance management and process mining by presenting a comprehensive framework with two levels of data analytics. It stresses discovering what is happening in business units, and how to prioritize their improvement opportunities learning the significant correlations between performance indicators and units' performance.

The purpose of this paper is to present a case study of the Heathrow Terminal 5 project and to illustrate a customised application of the Balanced Scorecard in a major infrastructure project with multiple stakeholders.

The research methodology applied in this work was based on the case study methodology. The focus was on “how” questions and exploratory analysis of primary and secondary data supported in‐depth interviews with members from both the project team and suppliers.

The application of the concept of the Balanced Scorecard by Kaplan and Norton in project management is less frequent in comparison with operations management. The study has established a proven application of the Balanced Scorecard in managing quality in a major infrastructure project.

For practitioners of major projects the paper gives implications for implementing the theoretical and customising requirements of the Balanced Scorecard involving key stakeholders.

The paper illustrates that metrics can be customised for major projects within the framework of the Kaplan and Norton Balanced Scorecard and that suppliers should be empowered to own the monitoring and improvement process using their performance data.

The purpose of this study is to focus on the policy of corporate social responsibility (CSR) launched in the chemical industry in the 1980s and known as “Responsible Care” (RC). The debate surrounding this issue prompts us to question the ever‐changing nature of this policy and the way to measure the performance achieved.

The findings are drawn from analysis of a double set of data including a longitudinal survey and a current case study. Blending these two data sets allows a better understanding of the ongoing building process of “RC” and, more broadly, of CSR.

This paper asserts that, contrary to the common wisdom developed in research, companies do not simply react to stakeholder pressure. Companies autonomously develop ways to protect their environment and so contribute to changing society's expectations. Thus, performance cannot be read without a dynamic perspective in mind.

The authors' findings lead them to reconsider the assessment of companies' sustainable performances by taking into account the fabricating process of sustainable activities. The main limitation of this research stems from the single unit of analysis considered. Broader studies will be necessary to enrich our understanding of corporate policies.

The paper stands apart from the traditional view of organizations as cynical actors and attempts to provide a more complex picture of the behaviours observed.

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.

The authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled indicators for both driving behaviour (times of aggressive speed change and times of lane change) and road smoothness (average speed and average vibration times of the vehicle body).

The developed driving grading system demonstrates highly accurate evaluations in practical use. Data analytics on the constructed indicators prove the significances of both driving behaviour heterogeneity and the road smoothness effect on objective driving grading. The methodologies are validated with real-life tests on different types of vehicles, and are confirmed to be quite effective in practical tests with 95% accuracy according to prior benchmarks. Data analytics based on the grading system validate the hypotheses of the driving fatigue effect, daily traffic periods impact and transition effect. In addition, the authors empirically distinguish the impact strength of external factors (driving time, rainfall and humidity, wind speed, and air quality) on driving performance.

This study has good potential for providing objective driving grading as required by the modern logistics industry to improve transparent management efficiency with real-time vehicle data.

This study contributes to the existing research by comprehensively measuring both road smoothness and driving performance in the driving grading system in the modern logistics industry.

This study aims to examine the uptake of corporate social responsibility (CSR) in the Asia Pacific region and to explore the extent to which countries in the region are transitioning towards a sustainable enterprise economy (SEE) and the links between the two, thereby connecting the uptake of CSR at the organisational level to the configuration and transformation of societies.

In order to examine the uptake of CSR in the Asia Pacific region and assess the extent to which countries are transitioning towards the SEE, this study compiles data from a selection of CSR‐related indicators that are globally harmonised and globally recognised as well as national performance indicators that not only set the operational context for organisations but also help to measure the ultimate impacts of policies, practices and activities by organisations on national conditions.

Based on the preliminary study undertaken into global national indicators in the Asia Pacific region, there is a need for more comprehensive indicators that capture key elements of a SEE. The study envisages the creation of a “Global SEE dashboard” of actual, real‐time key performance indicators that can help facilitate stewardship by societies towards the Global SEE.

By underscoring the needs, opportunities and challenges for CSR capacity‐building in the Asia Pacific region and for countries to transition effectively towards the SEE, this study adds value to the efforts of public and private policy makers concerned with CSR, sustainability and governance as well as practitioners and members of civil society interested in responsible global citizenship.

The purpose of this paper is to show that maintenance performance is potentially better predictable from recording routines.

An attempt is made to observe an effect of a policy. Maintenance cases seem exceptional because of the efficiently obtainable evidence about policy violations which potentially provides access to the counterfactual reality to be avoided by the decision maker. The approach followed in this work is to use maintenance policy compliance to observe the effect of a maintenance policy.

Conventional maintenance scorecards are not geared to accommodate maintenance performance predictions. The proposed alternative representation of maintenance performance indicators much better accommodates maintenance performance predictions.

This work focuses on the operationalisation and the sampling procedure of maintenance performance indicators; the selection of a predictive model is not considered.

This work demonstrates that maintenance decision makers have the possibility to observe the effects of their policy, which potentially enables them to better control their objectives. This work provides guidelines to construct performance indicators that much better accommodate maintenance performance predictions than conventional maintenance performance indicators.

The approach to make the effects of maintenance policy compliance observable is an original contribution to normative decision theory. To construct a maintenance scorecard that accommodates maintenance performance predictions is an original contribution to the field of maintenance performance measurement.

A perceived uniqueness of real estate (RE) projects has led to a view among RE practitioners that since no two RE projects are the same, they must all follow their own unique set of processes. Further, local exigencies often result in the very processes agreed at the beginning of every project being changed, thereby making projects unpredictable for delivery within time and budget, or to the standards of quality expected. Maintaining the need to follow pre-defined standard processes in RE operations, the purpose of this paper is to focus on two converging tracks: the first track studies available sector-level competitiveness frameworks appropriate for RE to formulate RE sector objectives; and the second track retains the process standardisation perspective to comprehensively identify a set of factors that influence the defined sector objectives.

The research methodology adopted comprises, respectively, for the two tracks, a focussed literature review and semi-structured interviews with 30 Indian RE sector practitioners working at levels of consequence, supported by qualitative interpretive analysis. As a sustained development requires all stakeholders to have their concerns addressed, this research leads to the formulation of four sector objectives, one for each stakeholder group identified. Furthermore, two sets of factors (inhibiting and enabling) are deduced from stakeholder interviews reinforced by secondary literature as those that would influence the realisation of the objectives from the standpoint of processes and their standardisation.

It is thought that factors identified here will inform actionable strategies for a transformation to the long-elusive process and standards-based delivery in the Indian RE sector. Such strategies will not only lead to the next spate of improvements from innovative processes and standards thereof but will also equip RE players with the wherewithal to successfully engage globally.

This work extends the earlier research to shift from a function to process orientation in RE and bridges research gaps in each of the tracks mentioned above: the articulation of RE sector objectives, and identification of factors influencing the objectives.