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The purpose of this paper on the level of sustainability of the oxbow lake is to determine the sustainability status, leverage of attributes and driving factors in the management of the oxbow lake in Buluh Cina Village in Kampar, Riau, Indonesia.

The types of data collected include primary data and secondary data. The data were collected using the methods of surveys, library research, laboratory analysis and interviews. The analysis methods employed in this research were the multidimensional scaling (MDS) analysis and the prospect analysis. The sustainability analysis was undertaken using the approach of the MDS analysis with the assistance of software RapOxbow.

The current sustainability status of the management of Lake Baru ecosystems according to a number of dimensions is regarded as sustainable with a sustainability index value by 50.95. Meanwhile, analysis results of each dimension show that the sustainability index for the ecological dimension is 42.56 and the sustainability index for the economic dimension is 47.44, which means that they are less sustainable. While the sustainability index for the socio-cultural dimension is 54.81, the sustainability index for the technological dimension is 53.12 and the sustainability index for the legal-institutional dimension is 56.83, meaning that they are fairly sustainable.

The originality of this paper lies at the approaches of this research which are MDS analysis and a prospect analysis, and the research location in Buluh Cina Village in Kampar, Indonesia, that has not been researched before. This is one of few studies which investigate comprehensively the sustainability analysis of management, especially in ecological, economic and socio-cultural dimensions in Indonesia.

The purpose of this study at the level of sustainability of oxbow lake was intended to determine the status of sustainability, leverage attributes and driving factors in the management of oxbow lake in Buluh Cina village in Kampar, Riau, Indonesia.

The types of data collected include primary data and secondary data. Data was collected using survey methods, library research, laboratory analysis and interviews. The analytical method used this study is multidimensional scaling (MDS) analysis and prospect analysis. Sustainability analysis is done using the MDS analysis approach with the help of RapOxbow software and compared to Monte Carlo analysis results.

The current sustainability status of the management of Lake Baru ecosystem according to a number of dimensions is considered sustainable with a sustainability index value of 50.95. Meanwhile, the analysis results of each dimension shows that the sustainability index for the ecological dimension is 42.56 and the sustainability index for the economic dimension is 47.44, which means that the index is less sustainable.

The approach of this research is MDS analysis and prospect analysis and research locations in Buluh Cina village in Kampar, Indonesia which have never been studied before. This is one of few studies that investigates comprehensively the analysis of management sustainability, especially in the dimensions of ecology, economics and socio-culture, especially in Indonesia.

Analyzing over 800 critical incidents across six service industries this study finds that responsiveness, courtesy/understanding the customer and communication frequently function as satisfiers driving the occurrence of positive incidents. Lack of competence, credibility and, particularly, reliability function as dissatisfiers driving the occurrence of negative incidents. Two generic dimensions emerge from multiple correspondence analysis: service system versus service people, and customer initiative versus employee initiative. The service system is associated with negative incidents, and service people with positive incidents. Substantial differences between service industries in antecedents of critical incidents emerge. Implications and recommendations for service delivery design and management are offered.

The purpose of this paper is to assess the land utilization in the erosion and landslide vulnerable mountainous region using the Rapid Appraisal for Agricultural Land Utilization (RApALU) model.

A multidimensional RApALU model is used for sustainable agriculture land utilization.

Ecological dimension was less sustainable, whereas socio-economic, socio-cultural, and eco-technological dimensions were comparatively more sustainable. It was found from the analysis that 9 out of 21 attributes have sensitive effect on the sustainability index and status.

One of the implications of this research is that this model could be used to quickly measure the arrangement of an area that is experiencing environmental problems so that the land use planning process could be done more effectively and efficiently. The parameters used in each variable could be chosen by the researchers themselves according to location. As far as known by the researcher, the methods used have not been well integrated, they are still separated, for example, only physical problems, and social problems have not been measured properly. This model is not perfect yet, and it could be developed further because environmental problems are very complex and could be different from one location to another.

RApALU analysis can be used as preliminary analysis to comprehend general and overall description on the status of the sustainability index of land utilization for agriculture in hilly mountainous regions. The study confirmed that RApALU analysis can help determine the status of the sustainability of land utilization in intricate areas. This technique was able to comprehensively identify important factors affecting sustainability status of various dimensions.

The purpose of this study is to develop a map for the holistic business process management (BPM) diagnosis in order to guide the choice of techniques that encompass all dimensions of the business process.

The design science research method was used, with the elaboration of seven steps to project solutions to empirical problems: (1) identification of the problem, (2) awareness of the problem, (3) definition of expected results, (4) design and development, (5) demonstration, (6) evaluation of artifacts and (7) communication. These steps were organized in different analyzes: descriptive, experimental and observational. The descriptive analysis comprised steps one to three (identification of the problem, awareness of the problem, definition of expected results) and made use of the systematic literature review procedure for proposing artifacts. The experimental analysis comprised steps four to five (design and development, and demonstration), where the consultation with specialists' procedures and then the Delphi procedure for the construction of the artifacts were carried out. In the observational analysis, steps six (evaluation of artifacts), where two case studies were performed, and step seven (communication), in which the map for the holistic BPM diagnosis was presented were carried out.

The article systematizes the BPM diagnostic techniques scattered throughout the literature and relates how these techniques relate to dimensions. A map for the holistic BPM diagnosis is generated containing 21 techniques and 9 dimensions, with 45 relationships between these techniques and tools. Another aspect is that the map shows that in BPM promotion projects, techniques are not restricted to any specific phase of the life cycle.

Professionals can use the map to form a blend with selected techniques and use them for holistic BPM diagnosis according to the skills and other resources of the project team.

The map developed is innovative because it relates a set of consolidated techniques for each dimension of the process to provide the holistic diagnosis for the organization. It is important to highlight that these techniques and dimensions were scattered in the literature.

The construction sector has significantly evolved in recent decades, in parallel with a huge increase in the amount of data generated and exchanged in any construction project. These data need to be managed in order to complete a successful project in terms of quality, cost and schedule in the the context of a safe project environment while appropriately organising many construction documents.

However, the origin of these data is very diverse, mainly due to the sector’s characteristics. Moreover, these data are affected by uncertainty, complexity and diversity due to the imprecise nature of the many factors involved in construction projects. As a result, construction project data are associated with large, irregular and scattered datasets.

The objective of this chapter is to introduce an approach based on a fuzzy multi-dimensional model and on line analytical processing (OLAP) operations in order to manage construction data and support the decision-making process based on previous experiences. On one hand, the proposal allows for the integration of data in a common repository which is accessible to users along the whole project’s life cycle. On the other hand, it allows for the establishment of more flexible structures for representing the data of the main tasks in the construction project management domain. The incorporation of this fuzzy framework allows for the management of imprecision in construction data and provides easy and intuitive access to users so that they can make more reliable decisions.

In the last 3 decades, organization-wide programs and practices based on the Total Quality Management (TQM) philosophy have become central to continuous improvement (CI) strategy in both public and private enterprises. However, there is paradoxical evidence of TQM-firm performance linkage in non-Japanese contexts. This study presents a meta-analysis of empirical research on TQM-firm performance linkage and investigates the moderating influence of national cultural (NC) values on this relationship.

Meta-analytical procedures are adopted to analyse 364 effects accumulated from 135 independent samples across 31 nations, for 30,015 firm observations. Additionally, weighted least square (WLS) meta-regression is used to test the moderation effects of four NC dimensions based on the Global Leadership and Organizational Behavior Effectiveness (GLOBE) model.

The meta-analysis results reveal that the strengths of the association varied across five soft and hard TQM dimensions and three firm performance dimensions Meta-regression indicate that the effectiveness of the TQM program is high in cultures which reward collectivist behaviours, equity of power distribution and avoidance of ambiguity in rules/structures.

The study contributes to international operational management theory on cultural influences on the effectiveness of operations strategies and decisions.

This study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.

Based on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.

The model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.

The model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.

The purpose of this paper is to explore the status quo and the strength difference of the climate for innovation among firms with different ownership structures, in different industrial sectors, and in different developmental stages in China.

The study used a survey method to explore the differences of innovative climate among firms with different ownership structures, difference in developmental stage and in different industries. It collected 624 data from 52 companies by purposive and snowball sampling methods. A structural equation model and ANOVA analysis, along with multiple comparisons, were employed to test the hypothesis.

First, by factor analysis and structural equation models, the study proved that the organizational innovative climate model in the Chinese organizational context is a seven dimension structural model, which includes such first‐order factors as working environmental support, innovative vision, leader support, team support, resources supply, learning and growth and knowledge and skills. Second, the results indicate firms in different developmental stages have significant differences in almost all dimensions of climate for innovation. Third, there is no significant difference in innovative climate among firms in different industrial sectors, but further analysis of multiple comparisons shows that there are relative strengths and weaknesses in specific dimensions of innovative climate among such firms. Last, the results suggest that there are significant differences among most dimensions of innovative climate in firms with different ownership structures in China. In assessing employees' experience over seven dimensions of climate, the results demonstrate that respondents vary their answers in the direction of theoretical hypotheses, which validated the relative assumptions.

The research is important because it shows that innovative climate strength may discriminate among different work contexts experienced by employees, which would help deepen our understanding of the present condition of innovative climate in China.