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The purpose of this paper is to investigate the predictive factors of information seeking behavior of smartphone users from the cross-generational perspective. Based on existing literature, the two most popular types of information seeking behavior of smartphone users were determined: social information seeking behavior; and functional/cognitive information seeking behavior.

A questionnaire comprising 66 questions was administered online to 216 smartphone users of three age groups according to three generations: generation X, Y (millennials) and Z. Several predictive factors were examined for each of these information seeking behavior types: generation, gender, personality traits (the Big Five), daily usage time, period of ownership, various application utilization and the level of emotional gain from smartphones.

There is a trade-off between the two types of information seeking behavior. Also, men exhibited significantly more functional/cognitive information seeking behavior than women, and younger generations reported significantly higher emotional gain and social information seeking behavior than older generations. Interestingly, significant differences in smartphone apps’ utilization, information seeking behavior types and their predictive factors were found among users from different generations. Extraversion was positively related to social information seeking behavior only for generations X and Y, while WhatsApp usage was one of the strongest predictive factors only for generation Z.

This research has practical implications for information system design, education, e-commerce and libraries.

This is a first study that systematically examines predictive factors of the two prominent types of information seeking behavior on smartphones from the cross-generational perspective.

The purpose of this study was to provide contemporary scientific knowledge on the functionality of edible lipids, sources, health benefits, and a special emphasis on different encapsulation strategies to enhance their dietary application and boost the market value.

Novel technologies overcoming these issues are in great demand. Given that, several novel encapsulation techniques have been established aiming at most of the aspects of functional lipids. In addition, these techniques have been designed to enhance the storage stability and controlled release of lipids in food systems.

Plant and marine oils are one of the richest sources of functional lipids but are attached with limitations. Currently, alternative sources, such as different types of algae and microorganisms are gaining attention in terms of sustainable production systems. Advances in various encapsulation techniques have helped to overcome the dispersibility and stability problems of lipids encapsulation. Refinement in physicochemical interaction, colloidal dispersion and core-shell modules between wall and core matrix protect dietary lipids during processing have been implemented. Liposomes, micro/nanoemulsions and micro/nanocapsules are found most suitable for food application by improving the fatty acid profile, stability and sensorial properties.

Functional lipids offer numerous health benefits (i.e., simple health-promoting properties to complex disease preventive and curative effects). However, these functional lipids are associated with several disadvantages, such as region-specific availability, vulnerability to oxidation depending on the level of unsaturation, degradation/hydrolysis on processing, low bioavailability, confined storage stability, and others.

Using the assumptions of the resource-based view, relational view and swift, even flow theories and the overarching principles of supply chain management, the study aims to test the role of information technology (IT) capability (cross-functional application, supply chain application and data consistency) in enabling supply chain integration (SCI; internal, customer and supplier integration) and the impact of SCI on firm's operational performance in terms of quality, delivery, production cost, inventory level, customer service and product-mix flexibility.

The structural equation modeling approach is used to test theoretical predictions underlying the relationship among dimensions of IT capability, SCI and operational performance based on data obtained from senior executives of 108 large manufacturing firms listed in the Tokyo Stock Exchange.

The results suggest that IT capability has positive impact on SCI, except for data consistency, which is found to have negative impact on internal integration. The results further indicate that SCI, especially customer integration, has positive and significant impact on all operational performance indicators.

The findings inform future initiatives associated with the SCI improvement via specific IT capabilities. When undertaking such initiatives, managers are advised to consider the differential impact of the following IT capabilities on SCI: cross-functional applications, supply chain applications, and data consistency capability.

The study makes an empirical contribution to the body of knowledge by demonstrating the value of the multidimensional representation and analysis of IT capability, SCI, and operational performance given a differential and even opposed influence by some of the dimensions in specific business contexts.

Examines the fifthteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Reorganising unstructured academic abstracts according to a certain logical structure can help scholars not only extract valid information quickly but also facilitate the faceted search of academic literature. This study aims to build a high-performance model for identifying of the functional structures of unstructured abstracts in the social sciences.

This study first investigated the structuring of abstracts in academic articles in the field of social sciences, using large-scale statistical analyses. Then, the functional structures of sentences in the abstract in a corpus of more than 3.5 million abstracts were identified from sentence classification and sequence tagging by using several models based on either machine learning or a deep learning approach, and the results were compared.

The results demonstrate that the functional structures of sentences in abstracts in social science manuscripts include the background, purpose, methods, results and conclusions. The experimental results show that the bidirectional encoder representation from transformers exhibited the best performance, the overall F1 score of which was 86.23%.

The data set of annotated social science abstract is generated and corresponding models are trained on the basis of the data set, both of which are available on Github (https://github.com/Academic-Abstract-Knowledge-Mining/SSCI_Abstract_Structures_Identification). Based on the optimised model, a Web application for the identification of the functional structures of abstracts and their faceted search in social sciences was constructed to enable rapid and convenient reading, organisation and fine-grained retrieval of academic abstracts.

Graphene, which has abundant availability in nature, is currently under research for its functional applications in the field of textiles. The sp² Hybridized 1-atom-thick planar sheet has been under consideration for its unique electrical, mechanical and thermal properties, but there exists a void for aggregated data on the findings of other co-functional properties attained by the material using graphene oxide (GO) finish. This paper aims to define the techniques of extraction of GO, method of its application on textile material followed by detailed evaluation of the differential functional properties achieved.

The methodology used to explain the multiple functionalities of GO finish have been carried out by starting with the chemistry of graphene and the isolation of GO from graphite, followed by the techniques for its application on the textile along with the study on the induced functional properties that may aid to increase its potential applications.

It has been observed that with the aid of optimization of GO finish, the finish in lieu with the conductive potentialities may further provide with many essential properties such as hydrophobicity, ultraviolet protection and antibacterial property.

The field of research on GO finish is naive and except few properties, many functionalities are still unexplored that may enable its smooth production, handling and expanding its area of application. The agglomeration of scattered findings on the achievable functional properties of GO on various textiles has been achieved in this paper.

The application of technology to customer relationship management (CRM) initiatives (e‐CRM) is one of the fastest growing technological developments. However, there is sufficient evidence to show that many CRM initiatives do not achieve the desired result. One of the reasons for this is the lack of clarity that surrounds the classification and selection considerations of CRM applications. Identifies and discusses key factors that need to be considered when electronic CRM solutions are to be implemented. Among other findings, proposes perspectives from which e‐CRM implementation may be viewed in addition to identifying three integration dimensions applicable to e‐CRM solutions. Concludes that, while e‐CRM applications could enhance the delivery of a CRM strategy, such applications should be chosen carefully to fit in with organisational culture, process and legacy IT systems. The financial and human resource cost as well as the amount of time required for implementation of a CRM application should also be key factors in the selection of e‐CRM applications.

This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and composition of the appropriate Web service.

The authors’ approach allows expressing requirements by taking into account potential users’ context in addition to the functional one.

In this paper, the authors introduce a new context-aware approach that provides a dynamic adaptation of service compositions.

The author has implemented a Web application that enables selection and composition of the most appropriate composite service.

The research debate on the direct relationship between environmental strategy and environmental management accounting (EMA) is quite popular; however, integration challenges between these two factors still persist at the firm level. This paper seeks to adopt the contingency theory perspective to examine how EMA implementation varies across organizations with different intensity levels of environmental management strategy implementation (i.e. environmental management maturity, EMM).

The paper uses a web-based survey, designed and administered to public listed companies and members of three industry chambers in Sri Lanka.

This study finds that EMA implementation is significantly different among organizations at varying EMM stages. Further, it is observed that organizations at higher stages of EMM use significantly greater domain-based EMA tools and EMA for functional purposes. Therefore, the results show that when organizations progress from reactive to proactive environmental strategies, the EMA evolves to encapsulate and diversify to deal with more-sophisticated environmental management activities.

This is the first study to provide cross-sectional evidence on the relationship between the application of EMA tools and functional uses and the intensity of the environmental strategy pursuance (or EMM). It also proposes a multi-item comprehensive measurement tool for EMA implementation.

The purpose of this paper is to propose and evaluate the selection of materials for the selective laser sintering (SLS) process, which is used for low-volume production in the engineering (e.g. light weight machines, architectural modelling, high performance application, manufacturing of fuel cell, etc.), medical and many others (e.g. art and hobbies, etc.) with a keen focus on meeting customer requirements.

The work starts with understanding the optimal process parameters, an appropriate consolidation mechanism to control microstructure, and selection of appropriate materials satisfying the property requirement for specific application area that leads to optimization of materials.

Fabricating the parts using optimal process parameters, appropriate consolidation mechanism and selecting the appropriate material considering the property requirement of applications can improve part characteristics, increase acceptability, sustainability, life cycle and reliability of the SLS-fabricated parts.

The newly proposed material selection system based on properties requirement of applications has been proven, especially in cases where non-experts or student need to select SLS process materials according to the property requirement of applications. The selection of materials based on property requirement of application may be used by practitioners from not only the engineering field, medical field and many others like art and hobbies but also academics who wish to select materials of SLS process for different applications.