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This study aims to increase the understanding of the drivers of mobile shopping, by analyzing when and how two personality traits – value consciousness and shopping enjoyment – impact mobile shopping intention through usefulness and ease-of-use perceptions.

To test the conditioned indirect effects, path analysis is used.

The results indicate that both consumers’ value consciousness and shopping enjoyment have a positive indirect effect on mobile shopping intention. However, shopping enjoyment is related only through usefulness, whereas value consciousness is related via both usefulness and ease of use. The results also suggest the need to consider boundary conditions when examining the impact of personality traits.

Mobile retailers need to conduct market segmentation based on users’ personalities when trying to increase their customer base.

Despite the relevance of personality traits on individual behavior, studies on the effects that different aspects of personality have on the participation of individuals in mobile commerce are very scarce and show inconsistent results regarding their impact. Thus, this study tries to contribute to the mobile commerce research by analyzing the interplay between two customer characteristics and two mediating variables: ease-of-use and usefulness perceptions.

Esta investigación busca aumentar la comprensión de los antecedentes de las compras móviles, analizando cuándo y cómo dos rasgos de personalidad – conciencia de valor y disfrute por la compra – afectan a la intención de compra móvil a través de las percepciones de utilidad y facilidad de uso.

Para comprobar los efectos indirectos condicionados propuestos se emplea un análisis path.

Los resultados indican que tanto la conciencia de valor como el disfrute por la compra de los consumidores tienen un efecto indirecto positivo en la intención de compra móvil. Sin embargo, el disfrute por la compra se relaciona sólo a través de la utilidad, mientras que la conciencia de valor se relaciona tanto a través de la utilidad como de la facilidad de uso. Los resultados también sugieren la necesidad de considerar factores moderadores al examinar el impacto de los rasgos de personalidad.

Los minoristas a través del móvil que quieran aumentar su base de clientes necesitan segmentar el mercado en base a la personalidad de los usuarios.

A pesar de la relevancia que tienen los rasgos de personalidad en el comportamiento de los individuos, los estudios sobre los efectos de distintos aspectos de la personalidad sobre la participación de los individuos en el comercio móvil son muy escasos y muestran resultados inconsistentes. Así, este estudio intenta contribuir a la investigación sobre comercio móvil analizando la relación entre dos características del consumidor y dos variables mediadoras: las percepciones de facilidad de uso y utilidad.

The objective of this paper is to propose a taxonomy of sustainability communication (SC) topics that provide digital content managers with a guide for setting a sustainability content agenda and for fostering stakeholder engagement mechanisms on environmental, social and economic issues that increasingly characterize conversations on social media of all stakeholder groups.

Taxonomy is a conceptual and qualitative way used to classify and represent the corporate sustainability (CS) domain of knowledge. The taxonomy categories of SC topics are both theoretically and empirically derived, combining an in-depth literature review with a thematic content analysis of 300 web pages of the corporate websites of the top ten sustainable brands selected in “The 2019 GlobeScan-SustainAbility Leaders Survey.”

The analysis of the results led to the construction of a hierarchical dictionary of tags that categorizes all sustainability topics based on a new, four-dimensional conceptual structure: planet, people, profit and governance. Each dimension is organized in four groups of sustainability themes, which, in turn, group multiple topics, considered the smallest communication unit to develop the SC content.

The taxonomy provides a concise and immediate conceptual framework on all those topics of broader interest, which, suitably modulated, can act as touch points with several groups of stakeholders. Drawn upon the best practices of thematic organization of SCs via the web, the taxonomy represents a guide for programming an editorial plan based on environmental, social, economic and governance issues from a sustainability content marketing perspective. The taxonomy of sustainability topics also finds application as a framework for a content intelligent system, providing a dictionary of tags that can be used for the indexing and retrieval of SC web content.

The study represents the first attempt at reaching a taxonomic organization of the sustainability aspects from a communicational perspective, supporting a new way of thinking and managing SC in the digital realm. Moreover, the results highlight, for the first time, that the Triple Bottom Line (TBL) theory, applied to corporate communications, lacks the governance aspect, which is essential to pursue sustainability consistently and effectively.

This study aims to access, analyze and highlight opportunities and problems of the Indian pharmaceutical sector in the broader national health-care industry. The recent changes in the field, at the institutional and corporate levels, have placed India in the spotlight of the global pharmaceutical market, but several threats and weaknesses could limit this expansion.

Descriptive and inferential analyses have been based on empirical data extracted from authenticated data sources. Subsequently, a narrative strengths, weaknesses, opportunities and threats analysis was performed based on the results of prior investigations and on qualitative data that were retrieved from a marketing intelligence examination to generate an overall scenario analysis.

Indian pharmaceutical companies have faced several challenges on various fronts. In the home market, drug prices are controlled by the drug price control order; therefore, there is strong pressure on revenues and subsequently on costs. In the international market, threats derived from pharmaceutical multinational companies are emerging as tough obstacles to overcome.

More focus on patents for innovative drugs is required, instead of concentrating primarily on generic drugs. There is a need for policymakers to work on the sustainability and development of the industry, while the companies must redesign their orientation toward enhancing innovation capabilities. In addition, at the level of corporate strategy, firms should establish collaborations and alliances and expand their industrial marketing vision.

This study provides a global overview of the potential growth and development of the Indian pharmaceutical sector, comparing it with internal trends and external competition. The most relevant contribution of the research relies on the shift to innovative production that Indian companies must adopt (after years of focusing only on generic drugs), and in this vein, appropriate industrial marketing solutions are indispensable.

This paper discusses the effects of enabling conditions of project knowledge management in building volatile organizational memory. The theoretical rationale underlies a recursive relationship among enabling conditions of project knowledge management, organizational learning and memory.

This research employs a qualitative descriptive single case study approach to examine a mobile application development project undertaken by a major software company in Brazil. The analysis focuses on the project execution using an abductive analytical framework. The study data were collected through in-depth interviews and company documents.

Based on the research findings, the factors that facilitate behavior and strategy in managing project knowledge pose a challenge when it comes to fostering organizational learning. While both these factors play a role in organizational learning, the exchange of information from previous experience could be strengthened, and the feedback from the learning process could be improved. These shortcomings arise from emotional tensions that stem from power struggles within knowledge hierarchies.

Based on the research, it is recommended that project-structured organizations should prioritize an individual’s professional experience to promote organizational learning. Organizations with well-defined connections between their projects and strategies can better establish interconnections among knowledge creation, sharing and coding.

The primary contribution is to provide a comprehensive view that incorporates the conditions required to manage project knowledge, organizational learning and memory. The findings lead to four propositions that relate to volatile memory, intuitive knowledge, learning and knowledge encoding.

This study aimed to establish the use of electronic learning centres in public libraries in the city of Johannesburg, which is under one of the biggest metropolitan municipalities in South Africa.

A quantitative research approach was adopted, and questionnaires were used to collect primary data. The target population for this study was the entire users of the electronic learning centres and librarians in the public libraries within the city of Johannesburg.

The findings of this study revealed that there are different services, levels of awareness and training.

This study was limited to public libraries in the city of Johannesburg. Academic, special and mobile libraries were not included in this study because they were not open to the general public. Users who were not using the electronic learning centres were excluded from this study.

Adequate use and awareness of services of electronic learning centres in public libraries are instrumental in the satisfaction of users’ needs using the electronic learning centres. The suggestions of this study will be useful to decision makers and heads of the electronic learning centres on how to enhance the use of the electronic learning centres in the city of Johannesburg.

This paper establishes the use of electronic learning centres in public libraries in the city of Johannesburg, which is under one of the biggest metropolitan municipalities in South Africa.

The aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.

Annual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.

Results of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.

There may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.

The paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.

This paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.

Carbon trading mechanism has been adopted to foster the green transformation of the economy on a global scale, but its effectiveness for the power industry remains controversial. Given that energy-related greenhouse gas emissions account for most of all anthropogenic emissions, this paper aims to evaluate the effectiveness of this trading mechanism at the plant level to support relevant decision-making and mechanism design.

This paper constructs a novel spatiotemporal data set by matching satellite-based high-resolution (1 × 1 km) CO₂ and PM_2.5 emission data with accurate geolocation of power plants. It then applies a difference-in-differences model to analyse the impact of carbon trading mechanism on emission reduction for the power industry in China from 2007 to 2016.

Results suggest that the carbon trading mechanism induces 2.7% of CO₂ emission reduction and 6.7% of PM_2.5 emission reduction in power plants in pilot areas on average. However, the reduction effect is significant only in coal-fired power plants but not in gas-fired power plants. Besides, the reduction effect is significant for power plants operated with different technologies and is more pronounced for those with outdated production technology, indicating the strong potential for green development of backward power plants. The reduction effect is also more intense for power plants without affiliation relationships than those affiliated with particular manufacturers.

This paper identifies the causal relationship between the carbon trading mechanism and emission reduction in the power industry by providing an innovative methodology for identifying plant-level emissions based on high-resolution satellite data, which has been practically absent in previous studies. It serves as a reference for stakeholders involved in detailed policy formulation and execution, including policymakers, power plant managers and green investors.