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The purpose of this paper is to advance our understanding of identity play process by including the stories we live by in depth. Over the past decade, identity play literature has placed more emphasis on the role of self-narratives. Yet, the “stories we live by”, including the told or untold stories of past and imagined events of the future, have not been considered in depth in these self-narratives.

This conceptual paper draws on the personal construct theory, narrative identity and constructivist psychotherapy literatures and attempts to include the stories we live by in scholarly conceptualizations and explorations of identity play processes.

Drawing on the personal construct theory, narrative identity and constructivist psychotherapy literatures this paper offers a comprehensive conceptual model of how the stories we live by infuse individual identity construction processes. The model highlights the inter-connectivity among stories we live by, identity play, identity work, sensemaking and social validation. Looking through the lens of the personal construct theory and taking these inter-connectivities into account lead to the observation of temporality in identity construction and the plurivocality of self-narratives.

This paper looks at identity play through the lens of the personal construct theory. However, self-narratives are seen as a medium for manifestation of personal constructs. Thus, this paper also draws on the narrative identity literature and dialogical-self concept, which helps access the multiplicity of the self-narratives to widen our grasp of personal constructs. This paper combines discourse of deconstruction with the dialogical-self concept and provides more means for the explication of identity play.

The purpose of this study is to propose Green Banking best practices for the adoption of this business construct based on the dimensions of environment, social and governance (ESG). This paper proposes a number of green practices under the ESG dimensions that can be adopted by individual banks at any stage of Green Banking adoption. It provides tactics for implementing this business construct that can serve as a tool for regulatory authorities forming Green Banking guidelines or policies for adoption. Such research has not been undertaken up until now.

The Green Banking adoption model is based on the concept of human ecology in which the inter-dependency and inter-connectivity of the variables impacting the phenomenon of environmental sustainability. These influencing variables are, in turn, connected with the natural environment. In the proposed model, the variables of ESG are inter-connected and impacting the natural environment as well. The proposed best practices have been derived from the Green Banking practices of the global industry leaders and Green Banking regulations of developed and developing countries. It can be beneficial to the stakeholders, as it proposes a step-by-step guide to Green Banking adoption that can be followed either sequentially or in parallel by the banks.

Green Banking adoption can be achieved by banks through implementing certain practices in either sequential or parallel manner. The adoption process depends on the various external and internal environmental dependencies. The Green Banking adoption practices can be broken down in three areas, i.e. ESG, allowing the construct optimal depth of coverage and complexity.

The literature on Green Banking is steadily increasing but a lack of research exists in the area of Green Banking adoption. Currently, limited literature exists that can provide the banking industry or the regulatory authorities with a framework or guideline to adopt Green Banking.

Data mining is the process of detecting knowledge from a given huge data set. Among the data set, multimedia is the data which contains diverse data such as audio, video, image, text and motion. In this growing field of video data, mining the video data plays vital role in the field of video data mining. In video data mining, video data are grouped into frames. In this vast amount of video frames, the fast retrieval of needed information is important one. This paper aims to propose a Birch-based clustering method for content-based image retrieval.

In image retrieval system, image segmentation plays a very important role. A text file, normally, is divided into sections, that is, piece, sentences, word and character for this information which are organized and indexed effectively like in a video, the information is dynamic in nature and this information is converted to static for easy retrieval. For this, video files are divided into a number of frames or segments. After the segmentation process, images are trained for retrieval process, and from these, unwanted images are removed from the data set. The noise or unwanted image removal pseudo-code is shown below. In the code image, pixel value represents the value of the difference between the two adjacent image pixel values. By assuming a threshold for the image value, the duplicate images are found. After finding the duplicate image, it is removed from the data set. Clustering is used in many applications as a stand-alone tool to get insight into data distribution and as a pre-processing step for other algorithms (Ester et al., 1996). Specifically, it is used in pattern recognition, spatial data analysis, image processing, economic science document classification, etc. Hierarchical clustering algorithms are classified as agglomerative or divisive. BRICH uses clustering attribute (CA) and clustering feature hierarchy (CA_Hierarchy) for the formation of clusters. It perform multidimensional data objects. Every BRICH algorithm based on the memory-oriented information, that is, memory constrains, is involved in the processing of the data sets. This information is represented in Figures 6-10. For forming clusters, they use the amount of object in the cluster (A), the sum of all points in the data set (S) and need the square value of the all objects (P).

The proposed technique brings an effective result for cluster formation.

BRICH uses a novel approach to model the degree of inter-connectivity and closeness between each pair of clusters that takes into account the internal characteristics of the clusters themselves.

There is more to primary care than solely medical and nursing services. Models of Child Health Appraised (MOCHA) explored the role of the professions of pharmacy, dental health and social care as examples of affiliate contributors to primary care in providing health advice and treatment to children and young people. Pharmacies are much used, but their value as a resource for children seems to be insufficiently recognised in most European Union (EU) and European Economic Area (EEA) countries. Advice from a pharmacist is invaluable, particularly because many medicines for children are only available off-label, or not available in the correct dose, access to a pharmacist for simple queries around certain health issues is often easier and quicker than access to a primary care physician or nursing service. Preventive dentistry is available throughout the EU and EEA, but there are few targeted incentives to ensure all children receive the service, and accessibility to dental treatment is variable, particularly for disabled children or those with specific health needs. Social care services are an essential part of health care for many extremely vulnerable children, for example those with complex care needs. Mapping social care services and the interaction with health services is challenging due to their fragmented provision and the variability of access across the EU and EEA. A lack of coherent structure of the health and social care interface requires parents or other family members to navigate complex systems with little assistance. The needs of pharmacy, dentistry and social care are varied and interwoven with needs from each other and from the healthcare system. Yet, because this inter-connectivity is not sufficiently recognised in the EU and EEA countries, there is a need for improvement of coordination and with the need for these services to focus more fully on children and young people.

This paper places a college at the centreof a multi-hazard assessment (earthquake, flood and landslide). The college is within a less studied, rural area of Ladakh, North India. Research focusses on a case study (Students Educational and Cultural Movement of Ladakh (SECMOL) College), close to Leh, Ladakh, and extends to incorporate/apply thinking from/to the wider Ladakh region. The approach adopted, centring on the hazard assessment of a single entity/local area, allows a rapid uptake of hazard recommendations within a college environment planning to continue its existence for decades ahead. A sister paper (Petterson et al., 2019) documents the active involvement of college staff and students in the principles of geohazard assessment and the development of student-centric hazard assessments of the college and their home village. SECMOL is a self-sufficient, alternative, college, organised along strong environmentally sustainable principles. The paper aims to discuss these issues.

This work has adopted different strategies for different hazards. Fieldwork involved the collection of quantitative and qualitative data (e.g. shape and size of valleys/river channels/valley sides, estimation of vegetation density, measurement of sediment clasts, angle of slopes, assessment of sediment character, stratigraphy of floodplains and identification of vulnerable elements). These data were combined with satellite image analysis to: define river catchment character and flood vulnerability (e.g. using the methodology of Collier and Fox, 2003), examine catchment connectivity, and examine landslip scars and generic terrain analysis. Literature studies and seismic database interrogation allowed the calculation of potential catchment floodwater volumes, and the collation of epicentre, magnitude, depth and date of seismic events, together with recent thinking on the return period of large Himalayan earthquakes. These data were used to develop geological-seismic and river catchment maps, the identification of vulnerable elements, and disaster scenario analyses.

This research concludes that SECMOL, and much of the Ladakh region, is exposed to significant seismic, flood and landslide hazard risk. High magnitude earthquakes have return periods of 100s to c. 1,000 years in the Himalayas and can produce intense levels of damage. It is prudent to maximise earthquake engineering wherever possible. The 2010 Leh floods demonstrated high levels of devastation: these floods could severely damage the SECMOL campus if storms were centred close by. This study reveals the connectivity of catchments at varying altitudes and the potential interactions of adjacent catchments. Evacuation plans need to be developed for the college. Northern ridges at SECMOL could bury parts of the campus if mobilised by earthquakes/rainfall. Slope angles can be lowered and large boulders moved to reduce risk. This work reinforces recommendations that relate to building quality and urban/rural planning, e.g. using spatial planning to keep people away from high-risk zones.

The frequency of hazards is low, but potential impacts high to very high. Hazard mitigation actions include engineering options for hazardous slopes, buildings to be earthquake-proofed, and evacuation management for large floods.

Methodologies undertaken in this research are well-tested. Linkages between disciplines are ambitious and somewhat original. The application of this work to a specific college centre site with the capacity to rapidly take up recommendations is novel. The identification of catchment inter-connectivity in this part of Ladakh is novel. This work complements a sister paper (Petterson et al., 2019) for community aspects of this study, adding to the novelty value.

The purpose of this paper is to propose a new brand association density metric and evaluate its performance in terms of correlations with recall, consideration, brand equity and market share and to compare different data collection methodologies to identify brand associations.

The authors present results from two studies covering three product categories. The authors use an open free association question and associations to a set of pre-defined brand attributes. The responses to the open free format question are text-mined prior to further analysis.

The authors find that the brand association density metric performs better than a metric that only uses the number of distinct associations. The authors also find that these metrics work best when derived from open free association data.

First, in addition to focusing on trying to build specific brand associations in consumers’ minds, it may be equally important, if not more important, to manage the number and inter-connectedness of the brand’s associations. Second, firms should complement their existing survey approaches with open-ended free association questions.

The brand association density concept presented is believed to be new. The empirical comparison between the use of free association to pre-defined attributes is also new.

The purpose of this paper is to examine the suitability of job and work design theory for investigating knowledge workers’ productivity. The review is a response to recommendation and adoption of the motivational human resource management approach by a number of knowledge management researchers. The authors show that the existing literature on this topic overlooks key criticisms of HRM job and work design theory itself. The authors suggest modifications.

The paper proceeds by outlining knowledge management researchers’ arguments rejecting the application of traditional measurement approaches to investigating knowledge workers’ productivity. The review develops to examine the various arguments for adopting work design theory and considers the key contributions and critiques in this field. Drawing on the insights of key HRM work design critics, the paper concludes by offering suggestions for a model suitable for examining the drivers of knowledge work productivity in process.

The principle finding is that Morgeson and Humphrey’s (2006) Work Design Questionnaire (WDQ) stand as the most conceptually consistent and methodologically considered human resource management work design theory. However, this model must itself be modified to include a category of organizational contextual work characteristics. For application to the filed of knowledge management, WDQ must also be expanded to include knowledge sharing, role breadth self-efficacy and employee well-being as key work design mediators and outcomes.

Greater consideration needs to be given to the distinction between knowledge sharing as a work design mediator and as a work design outcome. Morgeson and Humphrey themselves note that the “common method variance” problems arising in psychometric research have been reduced but not completely eliminated from their model.

Survey instruments based on the recommended model potentially provide a valuable means for understanding and enhancing productivity in a variety of knowledge intensive service industries. The pronounced benefit of this model is that it is applicable in cross-industry and cross-occupational contexts, unlike many existing knowledge worker productivity models. This is an advantage, given the centrality of the inter-connectivity of different types of activities and industries in knowledge work.

Work design prioritizes employee motivation and support and links this to the quality of work and the well-being of clients. The benefits of well-designed knowledge work extend well beyond the generation of specific innovations and macroeconomic productivity improvements.

Job design and work design theory have been applied in the field of knowledge management. However, the applications have largely overlooked key critiques of the established models in the human resource management literature. The paper fills this gap. Its original suggestions for modifying Moregeson and Humphry’s (2006) WDQ reflect the authors’ in-depth analysis of the literature.

While transport seems to be increasingly constrained in its mission to supply services which are continuous, costless and available in all directions, the telecommunications system seems to have no such constraints and to be developing ever more rapidly in terms of inter‐connectivity, falling costs and multi‐directionality. It would seem to be impossible to contemplate the future demand for transport in isolation from the future demand for telecommunications and the question of the optimal interaction between the two mobility modes. Reviews the benefits of the different forms of telecommunications and virtual logistics. Investigates the implications for freight logistics and the supply side of the transport industry. Suggests a way to re‐engineer the analytical framework.

The purpose of this paper is to explore the non-financial causes of organizational success or failure, provide a better understanding of the symptoms of financial distress and improve the predictive capacity of financial failure models.

The paper utilizes exploratory case studies in investigating the relationship of non-financial factors to organizational success or failure across a sample of sector-specific Australian firms listed on the Australian Stock Exchange. A two-tailed study was designed, in which seven cases from both extremes were chosen from three Australian business sectors: finance, property and manufacturing.

Non-financial factors associated with the organizations studied impacted their success or failure. These factors included management skill, experience and involvement in organizational strategy, feedback and resultant activity, together with board of director composition. The identification of financial and non-financial factors and sound internal processes could be utilized for the development of an early warning predictor of organizational success or failure.

The use of this method is very time-consuming but is highly valuable in case study research, providing a more in-depth understanding of how non-financial factors impact organizational success or failure.

The research will provide a better understanding of the symptoms of financial distress and improve the predictive capacity of financial failure models. The improvement in prediction of organizational failure will reduce the costs of failure to all areas affected, from the large corporation to the small business. The inter-connectivity of all businesses to each other often results in a knock-on effect of failure with the cost being borne by all members of the community in some manner. The level of social impact and cost of failure can only be seen by the enormous costs of the Global Financial Crisis failures.

This paper contributes to the literature on effective qualitative research and explores important areas of consideration for those conducting qualitative multiple-case studies. It is intended to be of use to researchers investigating the area of predictors of organizational failure or success.

The purpose of this paper is to critically analyse the correlation between the rule of law and the efficient functioning of capital markets. It attempts to examine the Nigerian capital market and how the rule of law can be used to prevent fraud and promote the proper functioning of the market.

The paper adopts the doctrinal approach through a critical evaluation of concepts. Using existing literature in the subject area, it evaluates the inter-connectedness between law and the capital market and how the rule of law is an important instrument in capital market development.

The paper finds that there have been numerous infractions of the rule of law by capital market actors, leading to stultification in the growth and development of this sector of the Nigerian economy.

The paper offers a fresh insight into the correlation between the rule of law and capital markets. By critically assessing the inter-connectivity between the two concepts, it extends the body of knowledge in this area by showing how the operations of the Nigerian capital market could be improved through the proper application of the rule of law.