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DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the web using Linked Data and SPARQL. However, the DBpedia release process is heavyweight and releases are sometimes based on several months old data. DBpedia‐Live solves this problem by providing a live synchronization method based on the update stream of Wikipedia. This paper seeks to address these issues.

Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of articles, which were recently updated. DBpedia‐Live processes that stream on the fly to obtain RDF data and stores the extracted data back to DBpedia. DBpedia‐Live publishes the newly added/deleted triples in files, in order to enable synchronization between the DBpedia endpoint and other DBpedia mirrors.

During the realization of DBpedia‐Live the authors learned that it is crucial to process Wikipedia updates in a priority queue. Recently‐updated Wikipedia articles should have the highest priority, over mapping‐changes and unmodified pages. An overall finding is that there are plenty of opportunities arising from the emerging Web of Data for librarians.

DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Many companies and researchers use DBpedia and its public services to improve their applications and research approaches. The DBpedia‐Live framework improves DBpedia further by timely synchronizing it with Wikipedia, which is relevant for many use cases requiring up‐to‐date information.

The new DBpedia‐Live framework adds new features to the old DBpedia‐Live framework, e.g. abstract extraction, ontology changes, and changesets publication.

Although important concepts and steps for strategic planning have been identified, there are few practical, systematic and powerful methodologies and tools to support an integrated and well‐managed process. This paper aims at describing in details how the quality function deployment (QFD) methodology can be applied in order to define the strategic priorities of a firm, to establish clear customer needs/expectations and to draw up a range of product and service characteristics in order to enhance customer satisfaction and thus competitive advantage.

From a methodological point of view, an exploratory case study has been taken with multiple level of analysis and multiple data collection methods. The case study refers to a small manufacturing firm operating in Italy which designs and sells geothermal heat pump systems.

The proposed methodology provides an excellent mechanism for integrating the important concepts and linking major steps of strategic planning and offers a rigorous methodology for identifying business priorities and developing order winning criteria.

In the last two decades many studies have appeared in the literature regarding the use of QFD procedure in supporting different types of planning. The main problem with these studies is that few explain the details of the process and even fewer present in‐depth case studies to demonstrate the process. Given the intrinsic characteristics of the case study, it is the authors' opinion that the analysis can give relevant indications about the feasibility and general applicability of the proposed methodology.

The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation.

The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies.

The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension).

An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies.

The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction.

This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

A seven-step Strategy Execution Model provides a tested guide to agile implementation.

Pragmatic actions, key deliverables and a case example for each of the seven steps in the model are presented.

Firms that focus more on strategic planning than implementation are often plagued with execution issues. Whereas, organizations that are able to execute their strategies as a well managed, integrated process have a much better chance of realizing the full potential of their plans.

Supporting the experience of numerous management teams, research indicates that poor execution often squanders the value companies anticipate from innovative, advantageous strategic initiatives. To minimize the likelihood of mismanagement, companies need a repeatable process that provides an integrated and actionable approach to effective strategy execution.

Senior executives and middle managers need a structured, coordinated system for managing strategy implementation. The author’s seven-step method has been tested in practice and refined. It emphasizes communication and agile adaptability.

The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.

This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.

Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.

This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.

The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.

This paper develops a theoretical understanding of learning during recovery from recurring disasters when humanitarian organizations deploy WASH technologies using examples from 2012–2013 floods in Assam, Northeastern India.

A mixed methods study was conducted in Assam, where Oxfam had responded after 2012 floods and erosion. Two surveys (n₁ = 313; and n₂ = 279) in 2013, along with 38 semi-structured interviews, 18 household interviews and 23 focus group discussions (FGDs) were undertaken. The quantitative data were analysed using descriptive statistics and the qualitative data were interpreted thematically.

One of the product-level innovations included raised platforms with WASH facilities as a preparedness measure for future floods, enabled by a co-learning approach. Social learning within community members provided contextual inputs, while Oxfam learnt through its institutionalized learning mechanisms, namely real-time evaluations, knowledge, attitude and practice (KAP) surveys and strong monitoring mechanisms. Despite these measures, the precarity of such geographies remains a major concern in increasing vulnerability, and hence this study advocates for an approach towards innovation that equally emphasizes and advances learning within community groups as well as organizations so that lessons can be captured and revisited in future programmes and promote wider application.

This study is exploratory, and longitudinal in nature, although the data and findings are fairly representative of the target population, they do not imply causality and attribution. Since the study relies on a case study, there are limitations of how the findings could be generalized in other similar contexts.

This paper offers a new theoretical lens emphasizing context-specific understanding of short-term but rapid onset and cyclical emergencies resulting in local population displacement. It provides a bottom-up perspective on innovations and technologies deployed by external aid agencies as a commentary on recovery of community resilience from recurring disasters.

This paper reframes agency approaches in how they perceive community resilience and enable flood-affected and displaced communities to recover using innovations in WASH technologies.

This paper expands on the key lessons to be gleamed from the many interventions in humanitarian WASH technologies from learning perspective and benefits from reflections as a practitioner in the field.

This study aims to gain new insight into how a set of maqasid-based consumption intelligence variables mediates exogenous variables (i.e. religiosity, Islamic university role and normative belief) and halal purchase intention as an endogenous variable.

The research model is empirically tested with a data set of 370 responses retrieved from the students of the millennial generation from the cross Islamic state university in Indonesia. Data were analysed with Partial Least Square Structural Equation Modelling (PLS-SEM). The sample size of this study is computed with preliminary power analysis.

The SEM finding revealed that two maqasid-based consumption intelligence variables had mediated the exogenous and endogenous variables, i.e. halal purchase intention. These variables mediating the exogenous and endogenous variables have explained 63.5 R² variances in halal purchase intention. Concerning individual impact size of cognition and motivation as a component of maqasid-based consumption intelligence has shown medium-level effect size (f²) in mediating the halal purchase intention. Interestingly, the exogenous variable does not directly affect halal purchase intention but must be mediated with maqasid-based consumption intelligence variables. However, before including variables of maqasid-based consumption intelligence, the R² was relatively small. It is just 30.4% in R² that explains the variance of halal purchase intention.

This study explores maqasid-based consumption intelligence as a relatively new model to explain the variable halal purchase intention. Therefore, it takes many types of exogenous variables to test how relevant maqasid-based consumption intelligence variables can define endogenous variables. Notwithstanding, this study does not do that because it only limits three exogenous variables (i.e. religiosity, Islamic university role and normative belief). Therefore, in further research, these limitations seem to be perfected by other scholars concerned about halal purchase intention.

The findings of this study allow Islamic universities to mainstream halal issues as a subject of learning, especially concerning consumption ethics. In addition, the empirical results of this study encourage the industry to pay attention to the essential components in determining the halal quality of the products offered because the millennial generation is now very aware of the importance of halal products.

This study contributes to the existing literature on halal purchase intention by testing maqasid-based consumption intelligence variables as mediators. Moreover, this is a pioneer study to consider and construct maqasid-based consumption intelligence as a model that explains halal purchase intention.

The expansion of information technology (IT) has become a great challenge in the business world today. Benefits from IT investment are only realized through sustained usage, rather than initial acceptance. Therefore, designing strategies continuously attracting user retention is the most critical and general question in IT global market. This paper aims to develop an integrated model that combines two well-known theories expectation confirmation theory (ECT) and self-determination theory (SDT) to determine customer’s continuance intention toward use internet banking.

A total number of 398 customers of commercial banks participated in this research. The research model was empirically tested using structural equation modeling.

The findings reveal that both ECT and SDT have significant influence in a customer’s continuance usage intention. The integrated model has good explanatory power (76.3%) to predict customer’s continuance intention toward use of internet banking. Additionally, importance performance matrix analysis indicates that intrinsic regulation and customer’s satisfaction are the most important factors to determine internet banking user’s continuance intention.

Internet banking users will be intrinsically motivated only for those activities that generate intrinsic interest for them, activities that have the charm of novelty, challenge or aesthetic significance. Thus, understanding banking customer intrinsic values should be a priority for managers and policymakers. Theoretically, integration of two well-known theories, ECT and SDT, provide basis for further refinement of technology continuance model in emerging e-payment domain.

This study is different from several traditional studies that had investigated initial acceptance of internet banking. In contrast, this study provides a comprehensive analysis of customer’s behavior in continuance intention context with technology (ECT) and motivational factors (SDT).

The proliferation of information technology has changed the banking system globally. Internet technology has not only allowed banks to offer products and services but also improved their ability to retain customers. This study aims to examine internet banking user’s continuance intention by integrating two well-known theories DeLone and McLean information system success model (D&M) and self-determination theory (SDT).

The research model was tested using survey data from 398 customers of commercial banks. The respondents were internet banking users. Data were analyzed using structural equation modeling.

The results revealed that internet banking user continuance intention is jointly determined by information quality (INFQ), service quality, satisfaction, introjected regulation, external regulation, intrinsic regulation and identified regulation. The integrated model explained 75.4 per cent variation in customer’s continuance intention to use internet banking. The results suggested that intrinsic regulation and identified regulation were the most important human motivation factors that drive customer’s intention toward continue use of internet banking.

The findings imply that managers seeking user satisfaction should focus on INFQ and service quality to enhance user continuance intention. Policymakers should focus on intrinsic and identified regulation of internet banking users. Some of the ways banks can do this is to develop enjoyable internet banking website with kind of reward system, activities that have the charm of novelty, challenge or aesthetic significance will help to improve user’s intention to continue use of internet banking.

This study contributes to the literature by integrating D&M and SDT in continuance intention and different from several traditional studies that had investigated the initial acceptance of internet banking users.

Understanding the main determinants of internet banking is important for banks and users. Although several prior research projects have focused on the factors that impact on adoption of technology, there is a limited empirical work which simultaneously captures technology-specific factors (PE, EE, WD, GAM) and customer-specific factors (GSC, INTRC) that help customers to adopt internet banking. Thus, the purpose of this paper is to verify how these factors influence individual behavior and motivate them to adopt new technology. The authors advance the body of knowledge on this subject by proposing moderating relationship of gamification between user’s intention to adopt and intention to recommend internet banking in social network.

To test the model the authors developed a quantitative study involving 398 internet users from five commercial banks. Data were collected in four weeks beginning of September 2017 from three large cities of Pakistan using convenience sampling approach. The theoretical model was tested using structural equation modeling (SEM).

The results indicate that intention to adopt internet banking is positively affected by performance expectancy, effort expectancy, website design, website characteristics and general self-confidence. Findings of SEM showed that approximately 72 percent of the variance in customer’s intention to adopt internet banking was accounted by predictors. Moderating effect of gamification suggested that the positive relationship between customer’s intention to adopt and customer’s intention to recommend internet banking will be stronger when gamification is higher. Importance performance matrix analysis (IPMA) suggested that among all other variables general self-confidence is the most important construct as it has the highest importance value in IPMA.

This study provides insightful guideline to practitioners, web designers and marketing professional that they should focus on both technology perspective and customer-specific factors to boost the confidence of internet banking users, while for researchers this study provides a basis for further development of technology adoption models in e-commerce domain.

This study contributes to the body of knowledge by adding game elements in technology perspective model and augments the e-commerce literature in the internet banking adoption context. To the date, this study is the first in its nature that investigates both technology-specific factors and customer-specific factors altogether to see the users influence toward technology adoption.