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The purpose of this paper is to study the potential for improving sustainability performance in food supply networks by implementing collaborative distribution. Food supply chains generate a significant portion of CO₂ emissions, because of the large volume of food transportation and the large number and frequency of trips made to deliver food products to retail stores, making it available to the customers. Collaboration of partners in food supply chains will lead to reducing CO₂ emissions.

Such collaboration could be in the form of sharing trucks by retailers, to increase the fill rate of the vehicles and to reduce their empty running. A case study of the logistics network of a British company, distributing fruits and vegetables, is carried out. The company sends the products from a distribution centre to 27 retailers’ warehouses of 3 different companies in the UK. A simulation study is carried out to measure the reduced traveled distance for delivery of the products and the reduced amount of CO₂ emissions across two different scenarios, as a result of implementing collaborative distribution.

With this approach, the total CO₂ emissions are able to be reduced by at least 26 per cent.

The theoretical contribution of the paper is important both for showing the role of simulation and collaborative distribution for developing the green supply chain solutions management and their indicating to the applications to logistics and product delivery.

The purpose of this paper is to identify the factors influencing investment decisions in mobile services for profitablity and to become a global leader in mobile services sector.

A two-stage methodology is followed. In the first stage, factors are identified from literature, and are validated with telecommunication domain experts using the t-test. In the second stage, interpretive structural modeling (ISM) is used to understand the complex interrelationships among various factors. Further, MICMAC analysis is performed to analyze the indirect relationships and their effect on different factors by stabilizing the rank based on driving and dependence power. Based on MICMAC analysis, four clusters are identified to aid the policy- and decision-makers.

The major contribution of this research is imposing directions and dominance of various factors to make informed decision-making for investment in mobile services to meet the upcoming demand for mobile services in Indian telecommunication sector.

The applicability of these research findings is limited to emerging telecommunication market.

This paper forms the basis for identifying various factors that act as the driving force for the Indian telecommunication operators to pay special attention toward mobile services, with telecommunication data analytics and developing context-aware services. This paper will aid policy-makers in the government, managers in telecommunication companies and other stakeholders such as content providers, channel partners and application developers to take a lead role in developing appropriate mobile services to meet local needs of Indian users. It will help in developing strategies to collaborate and motivate other stakeholders, including device manufacturers to understand and work collaboratively to become world leader in mobile services.

This paper provides a framework for understanding the various factors that encourage telecommunication companies to establish and invest in mobile services and setup a separate vertical in their organization with a focus on mobile services to meet the future demands of Indian market. Appropriate utilization of telecommunication data analytics, personalization of services, customization in local languages and support for convergent services would encourage adoption of mobile services.

The purpose of this paper is to illustrate the potential benefits for firms that report more on environmental activities, with regard to two important categories of stakeholders: shareholders and customers.

To avoid the endogeneity problem, the authors apply the system generalized method of moments approach by estimating the relationship between environmental reporting and firm performance with regard both to levels and first differences simultaneously.

Based on the 120 largest publicly traded companies in France from 2007 to 2011, results suggest that shareholders interpret and perceive firms’ environmental information disclosure differently than consumers. However, reporting on environmental duties is perceived favorably by both customers and shareholders for firms with better environmental performance. In the same way, an increase in the level of environmental reporting is valuable in terms of customer-related performance (i.e. sales growth and profit margin) and in terms of market value (i.e. Tobin’s q) for firms operating in customer proximity industries. In a supplementary analysis, the authors found that, for reporting on climate change (a component of the combined environmental reporting index), positive customer and shareholder perceptions are acquired in particular through superior environmental performance and proximity to the final customer.

When reporting on their environmental duties, environmental performance and proximity to the final customers play a critical role for firms in obtaining the necessary support of key stakeholders.

To the best of the authors’ knowledge, this is the first study to explore the difference between shareholders’ and customers’ perception of environmental reporting according to firms’ environmental performance and to their proximity to the final customer.

The purpose of the study is twofold. The first objective is to identify adoption barriers (AdoBs) in engaging young consumers in the Omni-channel retailing (OCR). The second objective is to develop interrelationship among identified AdoBs.

The study used interpretative structural modeling–fuzzy ( Matriced’ Impacts Croisés Multiplication Appliquée a UN Classement) methods on 18 AdoBs identified from the existing literature and validated from 10 experts and 137 young consumers through pairwise comparison using the arithmetic hierarchical process method. The resulting ten barriers were further investigated for identifying the strength of relationships among them.

The study has identified price inconsistency as the dominant AdoB that restricts young consumers in engaging with OCR. The other critical AdoBs include lack of coordination among the channels, and information sharing and inconsistent price discount are the main barriers that affect all the other barriers among the 10 AdoBs identified in this study. The data also revealed that the young consumers exhibit the research-online purchase-offline effect in the purchase process.

The research study has undertaken ten barriers only. The interrelationship among the barriers may be tested further with advanced techniques. The data have been collected from young consumers of emerging markets only which may be further extended for other markets.

This study helps practitioners and decision-makers understand about AdoBs faced by the young consumers influencing the purchase-intention process. Retailers or marketers are encouraged to focus on price consistency, advanced shared information system, proper coordination and developing trust of consumers in sharing their data to enhance the acceptability of Omni channels. Moreover, the identification of barriers and their strength offer marketers or retailers an opportunity to engage them in an effective manner and thus create value using communication channels.

Social benefits of understanding barriers are helpful for transforming the existing retail channel into a fully integrated Omni-channel ecosystem. For this, AdoBs identified and their inter-relationships explored in this study could be used for engaging young consumers in OCR.

To date, the research on Omni-channel barriers in the present context is scant. The research provides insides on identified dimensions on young consumer engagement in OCR.

The current work provides a framework for the ranking of ontology development methodologies (ODMs).

The framework is a step-by-step approach reinforced by an array of ranking features and a quantitative tool, weighted decision matrix. An extensive literature investigation revealed a set of aspects that regulate ODMs. The aspects and existing state-of-the-art estimates facilitated in extracting the features. To determine weight to each of the features, an online survey was implemented to secure evidence from the Semantic Web community. To demonstrate the framework, the authors perform a pilot study, where a collection of domain ODMs, reported in 2000–2019, is used.

State-of-the-art research revealed that ODMs have been accumulated, surveyed and assessed to prescribe the best probable ODM for ontology development. But none of the prevailing studies provide a ranking mechanism for ODMs. The recommended framework overcomes this limitation and gives a systematic and uniform way of ranking the ODMs. The pilot study yielded NeOn as the top-ranked ODM in the recent two decades.

There is no work in the literature that has investigated ranking the ODMs. Hence, this is a first of its kind work in the area of ODM research. The framework supports identifying the topmost ODMs from the literature possessing a substantial amount of features for ontology development. It also enables the selection of the best possible ODM for the ontology development.

This study aims to the OQuaRE quality model to the developed methodology.

Ontologies are formal, well-defined and flexible representations of knowledge related to a specific domain. They provide the base to develop efficient and interoperable solutions. Hence, a proliferation of ontologies in many domains is unleashed. Then, it is necessary to define how to compare such ontologies to decide which one is the most suitable for the specific needs of users/developers. As the emerging development of ontologies, several studies have proposed criteria to evaluate them.

In a previous study, the authors propose a methodological process to qualitatively and quantitatively compare ontologies at Lexical, Structural and Domain Knowledge levels, considering correctness and quality perspectives. As the evaluation methods of the proposal are based on a golden-standard, it can be customized to compare ontologies in any domain.

To show the suitability of the proposal, the authors apply the methodological approach to conduct comparative studies of ontologies in two different domains, one in the robotic area, in particular for the simultaneous localization and mapping (SLAM) problem; and the other one, in the cultural heritage domain. With these cases of study, the authors demonstrate that with this methodological comparative process, we are able to identify the strengths and weaknesses of ontologies, as well as the gaps still needed to fill in the target domains.

Using these metrics and the quality model from OQuaRE, the authors are incorporating a standard of software engineering at the quality validation into the Semantic Web.

The overall functioning of this system is based on two approaches: construction and supervision. The first is conducted entirely by the machine, and the second requires the intervention of the designer to collaborate with the machine. The morphological translation of urban rules is sometimes contradictory and may require additional external relevance to urban rules. Designer arbitration assists the artificial intelligence (AI) in accomplishing this task and solving the problem.

This paper provides a method of computational design in generating the optimal authorized bounding volume which uses the best target values of morphological urban rules. It examines an intelligent system, adopting the multi-agent approach, which aims to control and increase urban densification by optimizing morphological urban rules. The process of the system is interactive and iterative. It allows collaboration and exchange between the machine and the designer. This paper is adopting and developing a new approach to resolve the distributed constraint optimization problem in generating the authorized bounding volume. The resolution is not limited to an automatic volume generation from urban rules, but also involves the production of multiple optimal-solutions conditioned both by urban constraints and relevance chosen by the designer. The overall functioning of this system is based on two approaches: construction and supervision. The first is conducted entirely by the machine and the second requires the intervention of the designer to collaborate with the machine. The morphological translation of urban rules is sometimes contradictory and may require additional external relevance to urban rules. Designer arbitration assists the AI in accomplishing this task and solving the problem. The human-computer collaboration is achieved at the appropriate time and relies on the degree of constraint satisfaction. This paper shows and analyses interactions with the machine during the building generation process. It presents different cases of application and discusses the relationship between relevance and constraints satisfaction. This topic can inform a chosen urban densification strategy by assisting a typology of the optimal authorized bounding volume.

The human-computer collaboration is achieved at the appropriate time and relies on the degree of constraint satisfaction with fitness function.

The resolution of the distributed constraint optimization problem is not limited to an automatic generation of urban rules, but involves also the production of multiple optimal ABV conditioned both by urban constraints as well as relevance, chosen by the designer.

It is generally accepted that massage can provide a lot of benefits to human health, especially for the brain functions. Little is known about the effect of unilateral massage on the brain activities. Nowadays, Swedish massage is a modern massage technique that is popular in both treatment and research fields. The purpose of this paper is to investigate the effect of unilateral Swedish massage on brain activities with electroencephalography (EEG) recording.

In total, 18 healthy adult participants (5 men, 13 women) aged between 22 and 36 years were massaged over one side of arm, forearm, hand, neck and face. Then the same procedures were repeated to another side of the body. EEG was recorded before (baseline) and during each massage condition. The absolute power of four common brain waves consisting of δ (0.5-4 Hz), θ (4-8 Hz), α (8-13 Hz), and β activities (13-30 Hz) from the quantitative EEG analysis between baseline and each massage condition were used to compare with the paired t-test.

The study found the reduction of δ and θ powers over bilateral frontal, fronto-central, and central areas. The increments of α power over the similar brain areas were also observed. These findings indicated the generalized effect of unilateral Swedish massage for inducing relaxation. Moreover, the significant reduction of β power was also found over right central area when left-arm massage was applied. This finding revealed the initial inhibitory effect of Swedish massage over right somatosensory cortex that received sensory stimulation through massage from left side of the body.

Unilateral Swedish massage induced the inhibitory effect at the contralateral somatosensory cortex and then produced the generalized effect which is compatible with relaxation.