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The purpose of this paper is to merge the ontologies that remove the redundancy and improve the storage efficiency. The count of ontologies developed in the past few eras is noticeably very high. With the availability of these ontologies, the needed information can be smoothly attained, but the presence of comparably varied ontologies nurtures the dispute of rework and merging of data. The assessment of the existing ontologies exposes the existence of the superfluous information; hence, ontology merging is the only solution. The existing ontology merging methods focus only on highly relevant classes and instances, whereas somewhat relevant classes and instances have been simply dropped. Those somewhat relevant classes and instances may also be useful or relevant to the given domain. In this paper, we propose a new method called hybrid semantic similarity measure (HSSM)-based ontology merging using formal concept analysis (FCA) and semantic similarity measure.

The HSSM categorizes the relevancy into three classes, namely highly relevant, moderate relevant and least relevant classes and instances. To achieve high efficiency in merging, HSSM performs both FCA part and the semantic similarity part.

The experimental results proved that the HSSM produced better results compared with existing algorithms in terms of similarity distance and time. An inconsistency check can also be done for the dissimilar classes and instances within an ontology. The output ontology will have set of highly relevant and moderate classes and instances as well as few least relevant classes and instances that will eventually lead to exhaustive ontology for the particular domain.

In this paper, a HSSM method is proposed and used to merge the academic social network ontologies; this is observed to be an extremely powerful methodology compared with other former studies. This HSSM approach can be applied for various domain ontologies and it may deliver a novel vision to the researchers.

The HSSM is not applied for merging the ontologies in any former studies up to the knowledge of authors.

Explores and attempts to reconcile some of the differences between traditional professional and academic management qualifications and those based on the NVQ competence model. Based on the experience of Universities and Higher Education institutions delivering open learning MESOL materials to the UK health and social care sector, focuses on the different assessment methodologies used by each. Concludes that it is necessary to differentiate clearly between the traditional input/knowledge‐based model and the competence‐based approach of the NVQ. This will allow candidates to contextualize and consolidate learning in the workplace prior to revisiting their performance at a later date.

The purpose of this study was to investigate the status of technology adoption (TA) among clothing manufacturers in Bangladesh and examine the influences of contextual factors on their TA level. Particularly, the authors examined the effects of export orientation, top management commitment (TMC), competitive pressure (CP), cost of capital (CC) and technical skills (TS).

The data were collected from Bangladeshi clothing manufacturer through an online survey. A firm was treated as a unit of analysis.

The results revealed that the most common technologies adopted were information technology and software related and the least common were automation related. Export orientation negatively influenced while TS and CP positively influenced the level of TA.

Due to the difficulty in obtaining firm level data, data collection did not utilize a random sampling. Only firms that agree to participate were included in the data.

The authors suggest the Bangladeshi clothing manufacturers to adopt selective technologies that complement the cost leadership strategy rather than immediate differentiation strategy or technology innovations.

Focused investment in human capitals and knowledge transfer in Bangladesh, one of the newly classified developing country, should sustain their competitiveness in the global market. Further discussions provide various stakeholders with insights related to trade policies, international aids and the UN's sustainable development agenda.

This study tackles a void that exists in TA research within the labor intensive clothing manufacturing sector, especially in a lower-middle income country, which surprisingly became the second largest clothing supplier today. Unique nature of the sector as an entry to economic development process in connection to the sustainable development concept is discussed to generate implications for practitioners as well as policy makers.

The study aims to develop a hierarchical model based on the Malcolm Baldrige National Quality Award to enable the ranking of quality dimensions required for achieving business excellence in the hotel industry of Bangladesh.

The study adopted a sequential mix method approach in which semi-structured interviews with 24 participants were initially conducted during the qualitative stage to identify the quality dimensions. Subsequently, a questionnaire survey was conducted among 40 industry experts to prioritise the identified elements using the relative measurement of the analytic hierarchy process (AHP). In total, 32 respondents were further surveyed to evaluate a selected number of hotels in Bangladesh using the absolute measurement of AHP.

The study uncovered eight criteria, together with 23 corresponding sub-criteria during the qualitative stage. Quality management emerged as the most crucial criterion, while health and safety-security measures were the most important sub-criteria in addressing the quality management criterion. In Bangladesh, five-star hotels were observed to be performing better than three-star and four-star hotels.

The developed model is unique and can be used by Bangladeshi practitioners to measure the performance of hotels. Moreover, it can also be applied to measure the performance of hotels in other countries just by incorporating minor modification to the model framework.

The publication of the United Kingdom National Health Service (NHS) Information for Health Strategy heralded a new strategic focus for the provision of information systems (IS) support across the NHS. Key changes concerned the placement of much greater emphasis on clinical information needs by route of the Electronic Patient Record (EPR) and the Electronic Health Record (EHR). The last decade has seen unprecedented changes within the NHS due to government policies, political ideology, health‐care reform and pace of technological progress. This paper argues that this rate and scale of change has outstripped the ability of health‐care organisations to respond effectively in order to implement the key goals set by strategic policy makers. An historical review is combined with an analysis of recent empirical survey data to determine the evolution and progress of the NHS IM&T strategy over a period of ten years. The review and analysis is enabled by adopting techniques and theory derived from research within the field of Information Systems, whereby Information Systems maturity models are used as an heuristic to measure levels of sophistication of IT adoption and use. These models demonstrate that NHS hospitals are fairly immature in terms of the adoption and usage of information systems and technology; struggling to provide adequate foundations for systems integration (data, work and culture). Conclusions reflect on the current progress and ambition of the strategy and comment on its potential outcome given existing NHS knowledge of IT, skills, capability and infrastructure.