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The construction industry encounters substantial challenges in its evolution towards sustainable development and in the adoption of building information modelling (BIM) technology and lean construction (LC) practices on construction mega-projects. This research aims to investigate the critical barriers encountered by key construction stakeholders in their efforts to integrate BIM and LC in the construction mega-projects.

A two-round Delphi survey shaped the foundation of aggregating consensus between an expert panel that examined a set of 28 barriers resulting from a detailed analysis of the extant literature. Descriptive and inferential statistical tests were exploited for data analysis, and interrater agreement analysis was used to elaborated and validate results.

The research concluded that the key barriers by descending order of significance are lack of mandatory BIM and LC industry standards and regulations by the government, resistance of the industry to change from traditional practices to LeanBIM, high cost of software licenses and training and running of BIM.

The research findings and the proposed mitigation strategy will enhance the application of BIM and LC practices in construction mega-projects and allow project key stakeholders to place emphasis on tackling the crucial challenges and barriers identified in this research.

Amidst the scarcity of resources, it is undisputable that an effective public procurement performance measurement system (PMS) is required particularly in county governments, especially for Kenya to realize its ambitions in devolved governance system. County governments cannot be effectively evaluated on their performance if the long-term, strategic impact of public procurement processes and projects is not captured. Arising from this backdrop, this study aims to determine the predictors of strategic procurement performance metrics (SPPM) adoption in public procurement PMS of county governments.

Anchored on institutional theory and public sector scorecard model, a survey research design was adopted where data were collected through census from 115 respondents working in procurement, finance and stores department of Kakamega county government. Data were collected using questionnaire (75.56% response rate) and key informant interviews, and analyzed by using multiple regression model and ordinal logistic regression models.

Multiple regression model and ordinal logistics regression revealed that national government support negatively and significantly, and regulatory framework positively and significantly affects the adoption of SPPM.

There is need for formal mechanism that will enable the national government in partnership with the council of governors to be proactively involved in developing procurement performance measurement capacity of county governments. This study’s findings also provide suggestions for a working regulatory framework required for the adoption of SPPM by county governments.

This work adds value to the prevailing body of knowledge on public procurement PMS in the public sector.

The purpose of this paper is to investigate the authorship patterns and the relationship between them based on some statistical indices for the role of libraries in promoting education at the global level.

The Education Resources Information Center (ERIC) database was searched for the peer-reviewed and full text available journal articles that contained specific words related to either libraries and education or libraries and e-learning in. Data were analysed based on certain statistical calculations to find out the degree of collaboration, collaborative coefficient, Shannon index, Simpson’s indices, Spearman’s coefficient and co-authorship pattern.

The criteria were met by 262 publications by 517 authors. The highest number of articles related with the role of libraries in education was published in the year 2013, and the highest numbers of articles were authored by a single author rather than multiple authors. The degree of collaboration was found to be highest in the year 2015 and 2016 with a value of 0.66, whereas the collaborative coefficient was highest in the year 2016 with a value 0.42. The Shannon’s diversity index was found to be 2.73705 with an evenness of 1.24568. The Simpson’s index, Simpson’s index of diversity and Simpson’s reciprocal index were found to be 0.299, 0.701 and 3.3444, respectively. The Spearman’s coefficient was found to be highest with a positive correlation of value 0.95 in the year 2013. Furthermore, six co-occurrences by eight authors were found.

Only the ERIC database was chosen for the study and only articles published from the year 2012 to 2016 were included in the analysis.

This study will be useful for researchers to get an insight into the collaborative research patterns demonstrated by the authors in understanding the role of libraries in education using different statistical approaches.

The purpose of the paper is to investigate the critical success factors (CSFs) associated with the effectiveness of transfer and sharing of tacit knowledge in lean and agile construction processes.

The study identifies ten CSFs that initiate the transferring and sharing of tacit knowledge. The CSFs are validated through quantitative study. This study recruited project managers, executives, consultants and other managers that are directly involved in the management of a construction project. It recruits the respondents those have background and experience from disciplines such as lean construction, agile construction, construction supply chain (CSC) and knowledge management in lean, agile and CSC. The data collected through self-administrative questionnaire are categorised as ordinal data to analyse in SPSS with frequency and Kruskal–Wallis H test, Spearman’s correlation analysis and a rank-order analysis is done to establish the level of importance of those factors.

Initially, “Trust between construction organisations” is identified as the foremost CSF. Moreover, other CSFs such as motivation, leadership capabilities, business strategies and organisational capabilities follow trust.

This is the first study that investigates and establishes the CSFs that are essential to initiate transferring and sharing tacit knowledge in a lean and in an agile construction processes.

This study examines the social and environmental disclosures of BHP Ltd (one of the largest Australian companies) from 1983 to 1997 to ascertain the extent and type of annual report social and environmental disclosures over the period, and whether such disclosures can be explained by the concepts of a social contract and legitimacy theory. This research is also motivated by the opportunity to compare and contrast results with those of Guthrie and Parker, in whose study the social and environmental disclosures made by BHP Ltd were also the focus of analysis. In testing the relationship between community concern for particular social and environmental issues (as measured by the extent of media attention), and BHP’s annual report disclosures on the same issues, significant positive correlations were obtained for the general themes of environment and human resources as well as for various sub‐issues within these, and other, themes. Additional testing also supported the view that management release positive social and environmental information in response to unfavourable media attention. Such results lend support to legitimation motives for a company’s social and environmental disclosures. A trend in providing greater social and environmental information in the annual report of BHP in recent years, and its variable pattern, was also evidenced.

The application of conventional rank correlation tests to the comparison of relevance judgements is outlined and their disadvantages are noted. A weighted rank correlation coefficient rw is proposed, which assigns variable weights to exchanges of rank on different parts of the scale. Examples of its computation are given, both for tied and untied ranks, and the values of rw for n=3 and n=4 are tabulated. The chief mathematical properties of the coefficient are investigated.

An empirical examination of the product elimination decision‐making processes in American and British manufacturing firms was presented. Specifically, two areas of the product elimination decision‐making process are presented: (1) the precipitating circumstances which “triggered” the product elimination decision‐making process to begin; and (2) the variables used to make the elimination/retention are reviewed. It was concluded that the decision making processes were similiar in the two countries.

The purpose of this paper is to examine how factors associated with a sense of community in the workplace are connected with organizational commitment and the quality of services among frontline managers and middle managers in social and health care services in Finland.

A questionnaire designed specifically for this research was sent to 241 lower-level and middle-level managers in social and health care services in central Finland. A total of 136 managers completed the questionnaire (response rate 56 per cent). The results were analyzed using descriptive statistics, exploratory factor analysis, Spearman’s rank-order correlation coefficient and multiple linear regression analyses.

The study showed that feeling a sense of belonging, mutual trust and appreciation, and open interaction among colleagues were connected to organizational commitment for frontline managers and middle managers in social and health care services in Finland. Correspondingly, an open flow of information in the organization, job meaningfulness and appreciation received from managers’ superiors were connected to the quality of services.

This study provides information on the factors that influence social and health care managers’ organizational commitment and on items connected to their experience of the quality of services.

Khadi fabrics are known for their unique comfort properties which are attributed to their unique structural and functional properties. For getting optimal comfort from a collection of available Khadi fabrics, further exploration is needed. Ranking the Khadi fabrics from a competitive lot for optimal comfort is a challenging job, which has not been addressed so far by any researcher. The purpose of this study is to present one such selection problem using the multi-criteria decision-making (MCDM) technique, a popular branch of operations research, which can handle almost any decision problem involving a finite number of alternatives and multiple decision criteria.

Two widely popular methods/exponents of MCDM, namely, analytic hierarchy process (AHP) and multiplicative analytic hierarchy process (MAHP) have been deployed in this study for ranking a competitive lot of 15 Khadi fabrics and selecting the best alternative for optimal summer comfort based on three comfort attributes, namely, drape coefficient, thermal insulation value and air permeability.

Both the approaches yield a similar ranking pattern with Spearman’s rank correlation coefficient of 0.9857, Khadi fabric K1 achieving Rank 1 (best in terms of optimal comfort) and sample K6 acquiring Rank 15 (worst choice). Two-phase sensitivity analyses were performed subsequently to demonstrate the stability of the two approaches: sensitivity analysis by changing weightage levels of the criteria and sensitivity analysis in dynamic decision conditions by changing the elements of the initial decision matrix. During sensitivity analyses, no occurrence of rank reversal is observed for the best and worst alternatives in either of the two approaches. This corroborates the robustness of the two models.

Khadi fabrics are widely acclaimed for their intrinsic comfort properties for both summer and winter. Although the popularity of Khadi fabrics is increasing day by day, this domain is under-researched, and hence, needs to be explored further. The present approach demonstrates how the MCDM technique can serve as a useful tool for ranking the available Khadi fabrics in terms of optimal comfort in summer. The same approach can be extended to other domains of the textile industry, in general, as well.

This study is the first-ever theoretical approach/research on the selection of Khadi fabrics for optimal summer comfort using the MCDM tool. Another novelty of the present study is that the efficacy of AHP and MAHP approaches, in this study, has been validated through a two-phase sensitivity analysis. This validation part has been ignored in most of the hitherto published applications of AHP and MAHP in other domains.

The behavior of tourists strongly depends on the availability and quality of information. Too little information as well as too much can be disorienting and forces many tourists to join the majority visiting major sights. This causes a few crowded places in contrast to many which are under‐utilized. A Destination Management Organization has the goal to spread tourists more evenly, whereas the tourists would like to enjoy the destination to its full potential according to their personal interests. The paper aims to focus on the issues surrounding the creation of a mobile tourist guide.

A field trial was conducted in the summer of 2005 to study the following questions as a precondition for the development: Is it possible to seed generic interest profiles in the mobile context that allow the accurate prediction of actual rankings? Are the interest profiles sufficiently diverse to base personalized tours on individual interest profiles instead of interest prototypes? How do personalized tours affect the spatial behavior of tourist? Three methods to elicit the generic preferences of tourist in the mobile context are compared with actual rankings using Spearman's rank order coefficient.

The diversity of the interest profiles is analyzed in various ways leading to the conclusion that personalized interest profiles are necessary. For the gathered profiles tours are computed and simulated in order to gain a first insight into the effect on the spatial behavior of tourists.

The dynamic tour guide is supporting both goals by means of pervasive computing based on the actual context which is defined by personal interests, location and schedule of a tourist. It enables a personalized, spontaneous and guided tour.