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Subtractive manufacturing process is the controlled removal of unwanted material from the parent workpiece for having the desired shape and size of the product. Several types of available machine tools are utilized to carry out this manufacturing operation. Selection of the most appropriate machine tool is thus one of the most crucial factors in deciding the success of a manufacturing organization. Ill-suited machine tool may often lead to reduced productivity, flexibility, precision and poor responsiveness. Choosing the best suited machine tool for a specific machining operation becomes more complex, as the process engineers have to consider a diverse range of available alternatives based on a set of conflicting criteria. The paper aims to discuss these issues.

Case-based reasoning (CBR), an amalgamated domain of artificial intelligence and human cognitive process, has already been proven to be an effective tool for ill-defined and unstructured problems. It imitates human reasoning process, using specific knowledge accumulated from the previously encountered situations to solve new problems. This paper elucidates development and application of a CBR system for machine tool selection while fulfilling varying user defined requirements. Here, based on some specified process characteristic values, past similar cases are retrieved and reused to solve a current machine tool selection problem.

A software prototype is also developed in Visual BASIC 6.0 and three real time examples are illustrated to validate the application potentiality of CBR system for the said purpose.

The developed CBR system for machine tool selection retrieves a set of similar cases and selects the best matched case nearest to the given query set. It can successfully provide a reasonable solution to a given machine tool selection problem where there is a paucity of expert knowledge. It can also guide the process engineers in setting various parametric combinations for achieving maximum machining performance from the selected machine tool, although fine-tuning of those settings may often be required.

Service providers leverage their corporate reputation management efforts to increase revenues by shaping customer attitudes and behaviours, yet the effects on customer innovation adoption and customer value remain unclear. In an extended conceptualisation of customer-based corporate reputation (CBR), the purpose of this paper is to propose that customer perceived risk, perceived value, and service separation are contingencies of the relationship between CBR and two key customer outcomes: customer new product adoption proneness (CPA) and recency-frequency-monetary (RFM) value.

Using a predictive survey approach, 1,001 service customers assess the online or offline operations of six multichannel retailers. The hypothesised model is tested using structural equation modelling and multigroup analysis.

The analysis reveals significant linkages of CBR with perceived risk and perceived value, as well as between perceived risk and perceived value and from perceived value to CPA and RFM value. These linkages vary in strength across unseparated (offline) and separated (online) services.

This study uses cross-sectional data to contribute to literature that relates CBR to relevant customer outcomes by considering CPA and RFM value and investigating contingent factors. It provides conceptual and empirical evidence that price appropriateness represents a new CBR dimension.

The results reveal that CBR reduces customers’ perceived risk and positively affects their perceived value, which drives CPA and RFM value. Multichannel retailers can create rewarding customer relationships by building and nurturing good reputations.

This study is the first to link CBR with customer product adoption proneness and value, two important customer measures. It proposes and tests an extended conceptualisation of CBR.

For the past four decades, there is no evidence of a consensus on the suitable community-based rehabilitation (CBR) evaluation methodologies. To this end, the purpose of this study is to provide a narrative review on CBR evaluations and the potential of photovoice method when used alone and when used in combination with quality of life assessment tools as CBR evaluation methodologies.

A narrative review was undertaken, but including some aspects of scoping review methodology.

Thirty-three full-text articles were included for review. Three key findings were an overview of the evolution of CBR evaluation; the use of photovoice method in CBR evaluation and the use of photovoice method in combination with quality of life assessment tools in CBR evaluation.

Photovoice methodology was found to be participatory in nature and as has the potential to elicit the experiences of persons with disabilities. However, photovoice falls short of measuring the quality of life of persons with disabilities, thus will need to be collaborated with another assessment tool. A combination of photovoice and World Health Organization Quality of Life (WHOQOL)-BREF and WHOQOL-Dis assessment has a potential to give an adequate representation of the voices of persons with disabilities and their quality of life.

There is need for changes in CBR evaluation methodologies in response to the evolution of disability models from medical model to human rights model. Thus CBR evaluation methodologies should embrace the diversity among persons with disabilities in interpreting life experiences and quality of life.

Case‐based reasoning (CBR), which has long been considered a branch of artificial intelligence, has recently gained great attention in the knowledge management circle because of its capability for storing and retrieving experience‐based knowledge by emulating human memory, and its ability to function similar to organizational memory to preserve organizational knowledge. While many successful CBR systems have been developed as knowledge repositories for preserving intellectual capital and for problem solving in business communities, both the concept and methodology of CBR are still novelties in education communities. While there are a plethora of projects and practical pursuits for CBR applications in business, literature relating to designing, developing and evaluating practical CBR educational applications is conspicuously scant. Based on the issues encountered and lessons learned in a CBR system development project, this paper attempts to provide some pragmatic guidelines for those who are interested in applying the CBR knowledge repository approach to supporting knowledge creation and diffusion in the education domain.

Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue.

A weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases.

The proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost.

The system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system’s process.

This study seeks to provide analytical insights into corporate brand‐rapture (CBR), its antecedents and consequences, and contributes to methodology for modeling CBRs.

The paper defines the construct and develops a theory that explains how corporate brand‐rapture works and is testable empirically.

CBR merits further investigation as a potentially valid, operational concept in marketing that underpins the conscious and unconscious drivers of the corporate brand's strongest stakeholders and that lays the foundations of research into corporate brand‐rapture communication.

The paper, while remaining conceptual, identifies a dynamic concept of interest to researchers and to corporate brand marketing management and proposes seven fundamental propositions for modeling CBR.

The paper provides researchers and corporate brand marketing with a more rigorous understanding of the foundations of engagement with a corporate brand.

This paper is the first so far on CBR theory and provides insights that are important to corporate brand marketers and their communications strategies.

Qualitative participatory methods are needed to measure the effectiveness of the community-based rehabilitation (CBR) program in Namibia. The study explored the experiences of CBR volunteers in evaluating CBR program in Namibia through the use of photovoice. Further the study assessed the strengths and limitations of utilizing photovoice method as an assessment tool for CBR evaluation.

The study employed a qualitative, explorative, descriptive and contextual design. Data was collected through the photovoice method. Two CBR sites and 16 participants who were CBR volunteers were purposively selected. Data was collected and analysis was conducted simultaneously utilizing the photovoice method and themes were determined using WHO CBR matrix.

Various experiences were elicited regarding participants' experiences in line with the five components of the CBR matrix. Most experiences were reported regarding the health component, and the education component had the least experiences reported. Methodological strength and weaknesses as well as implications for practice are revealed. Further research can explore the benefits of combining photovoice with other data collection methods.

Sustainability of CBR programs depends on community ownership, empowerment and government funding. Photovoice is participatory and hence gives community ownership and empowerment. Evidence from photovoice can enable persons with disabilities to formulate action plans that can advocate their concerns with policymakers and justify more funding for CBR programs.

We argue that by conducting systematic research with communities rather than on communities, community-based research (CBR) methods can both advance the study of human interaction and strengthen public understanding and appreciation of social sciences. CBR, among other methods, can also address social scientists’ ethical and social commitments. We recap the history of calls by leading sociologists for rigorous, empirical, community-engaged research. We introduce CBR methods as empirically grounded methods for conducting social research with social actors. We define terms and describe the range of methods that we include in the umbrella term, “community-based research.” After providing exemplars of community-based research, we review CBR’s advantages and challenges. We, next, summarize an intervention that we undertook as members of the Publication Committee of the URBAN Research Network’s Sociology section in which the committee developed and disseminated guidelines for peer review of community-based research. We also share initial responses from journal editors. In the conclusion, we revisit the potential of community-based research and note the consequences of neglecting community-based research traditions.

The purpose of this study is to determine the capacity map of professional learning community (PLC) practicing community-based research (CBR) in Ubon Ratchathani Rajabhat University, Thailand, and the implementation of the lessons learnt from the process and essential skills at Hua Don Primary Health Care (PHC).

Participatory action research (PAR) design was conducted in two phases, one on campus and the other in the PHC. For gathering and validating the data, the snowball sampling technique, focus group, in-depth interviews and the triangulation method were used.

The PLC capacity map from the first phase provided the essential skills of CBR and the second phase revealed lessons learnt from the implementation in the Hua Don PHC. The shortcut in researching a new target area by a collaboration of the community leader and village health volunteers was prominent. The results could be interpreted in creating collaboration in health care with a new community.

The capacity map is a practical guideline for a beginner or CBR novice researcher, and the lessons learnt help the implementation in the health field, particularly in PHC, succeed smoothly.

This study aims to reexamine the discriminant validity of the customer-based corporate reputation (CBR) scale in both its original and short forms.

The authors used data from end-use customers in two countries and two service industries. Results obtained in partial least squares structural equation modeling for the heterotrait–monotrait (HTMT)-based inference test and the Fornell and Larcker criterion were compared to make judgements about the empirical distinctiveness of the CBR scale’s five dimensions.

This study’s findings demonstrate that the CBR scale in both its original and short forms lacks discriminant validity when using the HTMT-based inference test. Conversely, the discriminant validity of the five corporate reputation dimensions is generally supported when using the more liberal Fornell and Larcker criterion.

Future studies using the CBR scale in either the original or its short form should rely on the more stringent HTMT criterion to ensure the discriminant validity of the scale’s five dimensions.

By addressing recent findings regarding the HTMT criterion’s superiority in uncovering discriminant validity issues compared to that of the Fornell and Larcker criterion, this study is the first, to the best of the authors’ knowledge, to reexamine the discriminant validity of the well-known CBR scale.