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This study aims to use a machine learning (ML) model for the prediction of traction coefficient and asperity load ratio for different surface topographies of non-conformal rough contacts.

The input data set for the ML model is generated using a mixed-lubrication model. Surface topography parameters (skewness, kurtosis and pattern ratio), rolling speed and hardness are used as input features in the multi-layer perceptron (MLP) model. The hyperparameter tuning and fivefold cross-validation are also performed to minimize the overfitting.

From the results, it is shown that the MLP model shows excellent accuracy (R² > 90%) on the test data set for making the prediction of mixed lubrication parameters. It is also observed that engineered rough surfaces with high negative skewness, low kurtosis and isotropic surface patterns exhibit a significant low traction coefficient. It is also concluded that the MLP model gives better accuracy in comparison to the random forest regression model based on the training and testing data sets.

Mixed lubrication parameters are predicted by developing a regression-based MLP model. The machine learning model is trained using several topography parameters, which are vital in the mixed-EHL regime because of the lack of regression-fit expressions in previous works. The accuracy of MLP with random forest models is also compared.

The purpose of this paper is to identify the factors influencing investment decisions in mobile services for profitablity and to become a global leader in mobile services sector.

A two-stage methodology is followed. In the first stage, factors are identified from literature, and are validated with telecommunication domain experts using the t-test. In the second stage, interpretive structural modeling (ISM) is used to understand the complex interrelationships among various factors. Further, MICMAC analysis is performed to analyze the indirect relationships and their effect on different factors by stabilizing the rank based on driving and dependence power. Based on MICMAC analysis, four clusters are identified to aid the policy- and decision-makers.

The major contribution of this research is imposing directions and dominance of various factors to make informed decision-making for investment in mobile services to meet the upcoming demand for mobile services in Indian telecommunication sector.

The applicability of these research findings is limited to emerging telecommunication market.

This paper forms the basis for identifying various factors that act as the driving force for the Indian telecommunication operators to pay special attention toward mobile services, with telecommunication data analytics and developing context-aware services. This paper will aid policy-makers in the government, managers in telecommunication companies and other stakeholders such as content providers, channel partners and application developers to take a lead role in developing appropriate mobile services to meet local needs of Indian users. It will help in developing strategies to collaborate and motivate other stakeholders, including device manufacturers to understand and work collaboratively to become world leader in mobile services.

This paper provides a framework for understanding the various factors that encourage telecommunication companies to establish and invest in mobile services and setup a separate vertical in their organization with a focus on mobile services to meet the future demands of Indian market. Appropriate utilization of telecommunication data analytics, personalization of services, customization in local languages and support for convergent services would encourage adoption of mobile services.

This paper aims to explore the perceived drivers behind the implementation of performance measurement systems (PMSs) in Indonesian local government (ILG). It analytically assesses Indonesia’s attempt to introduce PMSs by addressing three research questions: Do organisations in developing countries actually use PMSs to aid decision-making and help plan for future performance improvement? (RQ1) Do the three isomorphic pressures exist in the development and use of PMSs? (RQ2) and If institutional isomorphism is evident, can accountability exist within the development and use of PMSs given these pressures? (RQ3).

This research explores the perceived drivers behind the implementation of performance measurement systems (PMSs) in Indonesian local government (ILG). It analytically assesses Indonesia’s attempt to introduce a PMS by addressing three research questions: RQ1 Do organisations in developing countries actually use PMSs to aid decision-making and help plan for future performance improvement? RQ2 Do the three isomorphic pressures exist in the development and use of PMSs? and RQ3 If institutional isomorphism is evident, can accountability exist within the development and use of PMSs given these pressures.

Results determined that although employees perceived coercive isomorphism as being a driver of ILG compliance with President B.J. Habibie’s presidential instruction (Inpres No. 7/1999), the Laporan Akuntabilitas Kinerja Institusi Pemerintah/Performance Accountability Report of State Apparatus (known as LAKIP), many councils were still not reporting and those who were, were not doing it well. Many councils lacked management motivation, with some choosing to merely mimic (mimetic isomorphism) what others were doing. Better-resourced councils made use of external consultants or local universities where knowledge was shared (normative isomorphism).

An understanding of factors influencing the development and use of performance measures, in turn, can be used not only to improve PMSs in the future but to improve the quantity and quality of LAKIP reporting.

The theoretical development and interpretation of this research is drawn from institutional theory with a major contribution being that it provides an in-depth conceptual overview and understanding of factors influencing the development and use of performance measures. Further, it fills a gap in the literature exploring PMSs and accountability in a developing country – in this case, Indonesia.

Explores the construction of professional expertise in HRD work through the examination of the careers of four individual HR developers who are employed as full‐time HRD personnel in various work organisations and already possess considerable experience of HRD work. A narrative approach to the development of professional expertise was applied and the building materials for professional expertise in HRD work retrospectively extracted from the developers’ formal work histories and career stories. The empirical data used consist of interviews with 20 full‐time HR developers working in large enterprises and governmental organisations in Finland. The present analysis is based on four career stories by four HRD managers selected on the basis of their different work histories. Despite the differences in the subjects’ work histories the analysis of their career stories revealed a similar emphasis on the centrality of people, a personal style as a working tool and understanding of learning as the corner stones of professional expertise in the practice of HRD.

Integrated project delivery (IPD) and building information modeling (BIM) has begun to be used in real estate development projects over the past decade to improve collaboration, communication and efficiency. However, the use of BIM and IPD in projects does not always imply that the information is well used and managed. This study aims to explain how information management should be carried out in BIM and IPD projects, what activities should be managed by the information manager and which stakeholder should play this role and why?

This study provides a framework on the subject by conducting a comprehensive systematic review in the field of real estate development, BIM, IPD and information management. In this context, the Web of Science and Scopus databases have been systematically reviewed, n = 45 out of a total of n = 1,356 articles and additionally, the BIM documents and standards prepared by public institutions and organizations and industry reports have been examined in detail.

The framework for information management roles was established by reviewing the literature. According to this framework, information management activities of information managers are listed in the table that covers all phases of real estate development. The owner should undertake this role as it is the entity that oversees the built asset from planning to the management of that facility.

In terms of acquiring information management roles, there is no research on BIM and IPD projects and who will take over this role. This study desired to close this gap in the literature.

This paper investigates nonlinearities in the relationship between mobility and COVID-19 cases or deaths based on demographic or socioeconomic characteristics, with a special focus on income and poverty.

The formal analysis is achieved by using county-level daily data from the US, where a difference-in-difference design is employed. Nonlinearities in the relationship between mobility and COVID-19 cases or deaths are investigated by regressing weekly percentage changes in COVID-19 cases or deaths on mobility measures, where county fixed effects and daily fixed effects are controlled for. The main innovation is achieved by distinguishing between the coefficients in front of mobility measures across US counties based on their demographic or socioeconomic characteristics.

The results suggest that the positive effects of mobility on COVID-19 cases increase with poverty, per capita income, commuting time or population, whereas they decrease with health insurance or grandparents responsible for grandchildren.

Important policy implications follow regarding where mobility restrictions would work better to fight against COVID-19 through targeted lockdowns.

The purpose of this paper is to develop a decision matrix for green project management processes (GPMPs) in commercial construction projects. GPMPs can assist in decoding all of the information required to make green-conscious decisions at various stages of a project.

Integrate the environmental factors into the traditional project management processes (PMPs) of major construction projects. The integrated product is worked into a process index, and the analytical hierarchy processes (AHP) method is used to prioritize the GPMPs according to pre-set criteria.

Research established the theoretical backing of green practices integration in the traditional PMPs, by creating an AHP weighted GPMP index that is linked to usable decision matrix.

Develops a fresh methodology to facilitate green decision-making in the project management of commercial construction projects.

This paper aims to develop a new model of stakeholder classification and a model for explaining the relationship between the organization and its respective stakeholders.

The new proposed model is based on an empirical study that comprises an exploratory study based on 15 interviews and a confirmatory study based on 684 questionnaires answered by staff of 11 public universities. The main variable deployed is the stakeholder's respective level of influence from the organization's management perspective, that is, their level of legitimacy, power and urgency.

The new model proposes six stakeholder types (regulator, controller, partner, passive, dependent and non‐stakeholder). To explain the relationship between the stakeholder and the organization, the traditional needs‐satisfaction vision was expanded. The variables of relevance, mutual influence and participation were found to be important in explaining the organization and stakeholder relationship. This study contributes both in simplifying stakeholder classification and in explaining the relationships between parties.

The study proposes a new model for stakeholder classification based on empirical research carried out with public organizations, therefore it is advisable to test this new classification scheme with other types of organizations.

This research proposes a stakeholder classification scheme previously unpublished in the literature, which helps organizations managing the relationships with their stakeholders.

The purpose of this paper is to define the need to a center for improving and extending university and research libraries in Iran, and identifying capabilities and position of Iranian Research Institute for Science and Technology (Irandoc) for accepting possible roles.

This research was documentary with scoping review in which the scope of research defined with internal and external organizational documents, related research studies in National Information System (NATIS) and international successful organizations in this field.

Findings show that Irandoc can play roles in developing a standard, establishing experts and professional network, developing information and knowledge sharing process, facilitating access to the scholarly contents, leadership and change management, developing infrastructures for research data management, gathering information and statistics of these libraries and developing interlibrary collaborations in these libraries.

This research is one of the seldom research studies related to clarification of an organization' role and position in NATIS in universities and improving and also extending activities of university and research libraries in Iran.

Construction waste originates from various sources, generally from the inception of construction through to the completion of a building project. Previous research has shown that there is a link between the quantity of waste generated and the way labour is organized in the construction industry. However, these studies have failed to look into the sources of waste with respect to labour utilization and how it influences the generation of waste. The purpose of this paper is to investigate the influence of labour arrangements on construction waste generation, particularly the sources of waste and the attitudes of workers.

Using a combination of direct observations and source evaluations on six case study sites, the waste in direct and subcontracted labour (SL) arrangements was quantified. A questionnaire survey was administered to the workers participating in the observation study to elicit their attitudes to waste and closely linked issues.

The results show that SL produced more waste than direct labour in all three work processes considered. A lack of organizational commitment and effective strategy emerged as the main problem in waste reduction.

Subcontractors should be made responsible for their share of waste generated in a project. Main contractors should record who are “approved subcontractors” based on their performance at site which should include inter alia waste generation. The approved subcontractor method is a way of barring subcontractors from being included on future projects if they do not meet the performance standards of a main contractor.

This study shows that waste generation has a relationship to organizational commitment and strategy rather than to workers’ attitudes. In order to manage construction waste effectively, it has to be considered in the financial equation of a project, because attitudinal changes are difficult to achieve unless there is a personal financial benefit attached to it.