Outlines, from a legal point of view, some general principles ofFrench financing, some of its particular features and certainlimitations. Considers finance in a legal context and…
Abstract
Outlines, from a legal point of view, some general principles of French financing, some of its particular features and certain limitations. Considers finance in a legal context and the various methods of taking security. Outlines three particular financial and legal structures known as prêt participatif, crédit‐bail; and vente en l′état futur d′achièvement which are peculiar to the French legal system.
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Gives a general introduction to obtaining finance on domestic andcommercial properties in France. Points out some (to British eyes)unfamiliar aspects of French tax and property…
Abstract
Gives a general introduction to obtaining finance on domestic and commercial properties in France. Points out some (to British eyes) unfamiliar aspects of French tax and property law.
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Gemma Durham and Chris Charman
The purpose of this paper is to explore the marketing notion of segmentation in the HR context and specifically how this thinking can be applied to talent and reward programs.
Abstract
Purpose
The purpose of this paper is to explore the marketing notion of segmentation in the HR context and specifically how this thinking can be applied to talent and reward programs.
Design/methodology/approach
The paper presents a best practice guide and discussion based on a combination of recent survey data and the authors' experience of applying this thinking across a range of companies and industry sectors.
Findings
Segmentation can be applied as a principle with benefits across talent and reward programs but it presents a range of change challenges. Long‐term low levels of people spend in Western multinationals may lead to segmented thinking being a logical response to future people challenges. Reward and talent professionals should consider this as a potential response early and strategically.
Originality/value
The article points to the adoption of a bottom‐up, role‐based approach to segmentation as a valuable approach to thinking through the implications of segmentation in any organization.
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Monika Rahulan, Olga Troynikov, Chris Watson, Marius Janta and Veit Senner
– The purpose of this paper is to understand the difference in purchase decision behavior of compression sportswear by Baby Boomers and Generation Y.
Abstract
Purpose
The purpose of this paper is to understand the difference in purchase decision behavior of compression sportswear by Baby Boomers and Generation Y.
Design/methodology/approach
Two methods were used for data collection: a simulation study with 17 Baby Boomers and 23 Generation Y subjects using eye-tracking technology; and a questionnaire from a sample of 82 Baby Boomers and 84 Generation Y consumers.
Findings
Generation Y are more inquisitive and focus greatly on technical information. Baby Boomers are more confident with their choices, taking a shorter time to reach a purchase decision; they are more concerned with aspects that protect the wearer.
Research limitations/implications
Limited demographic information was collected from participants in the simulation study, further research is required in this area.
Practical implications
This study provides important insights into the purchase decision behavior of Baby Boomers and Generation Y for compression sportswear. By providing better understanding of some of the key drivers for purchase decisions it enables marketers to develop more effective marketing plans to engage with these important consumer groups.
Social implications
The focus and findings of this study provide further understanding of the motivations of two significant consumer cohorts. This study provides further momentum to the body of cohort research already available.
Originality/value
This study addresses a gap in literature with reference to the comparison of consumer behavior of generational cohorts when purchasing compression sportswear. Findings can be applied in other areas of sportswear and to other countries.
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Delivery of corrosion monitoring system for grass roots gas project in Pakistan. Cormon Ltd corrosion monitoring systems announce the delivery of the complete corrosion monitoring…
Abstract
Delivery of corrosion monitoring system for grass roots gas project in Pakistan. Cormon Ltd corrosion monitoring systems announce the delivery of the complete corrosion monitoring system for Pakistan Petroleum Ltd's Sui Field Gas Compression Project on behalf of the contractor, Foster Wheeler Energy Ltd, Foster Wheeler House, Station Road, Reading.
BEING HELPFUL to people is insufficient motivation to speed the momentum of industrial librarianship. What is needed is more personal commitment to the profession.
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Jill Quest, Chris Shiel and Sarah Watson
This paper aims to provide a case study of a capacity building project and critical reflection in relation to transitioning to a sustainable food city.
Abstract
Purpose
This paper aims to provide a case study of a capacity building project and critical reflection in relation to transitioning to a sustainable food city.
Design/methodology/approach
A case study research approach was adopted involving two research initiatives: first, a survey to elicit stakeholders’ understanding of sustainable local food, with a view to creating a shared agenda and informing future strategic direction and second a combination of research approaches, including paired discussions, generation of pictorial outputs and a workshop, aimed to inform the future vision and mission of the Partnership.
Findings
Collaboration with stakeholders through a variety of research initiatives has facilitated the development of a sustainable food city partnership, with the overarching aim of achieving a transition towards a more sustainable food system. Moreover, collaboration has contributed to the transition of the Partnership to ensure sustainability and continuity after the initial funding stage.
Research limitations/implications
While universities have an important role to play in guiding direction and shaping new community initiatives for sustainability in their regions, the challenges, resources and time involved may be under-estimated; these projects take considerable time to yield fruit.
Practical implications
The findings of the study will be of interest to those working in the community to promote education for sustainable development and better food systems.
Originality/value
This paper addresses a gap in the literature in relation to universities and their collaboration with key stakeholders in building capacity and contributing to local sustainability transitions.
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Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Jean Robert Kala Kamdjoug and Chris Emmanuel Tchatchouang Wanko
The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation…
Abstract
Purpose
The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.
Design/methodology/approach
This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.
Findings
AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.
Research limitations/implications
AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.
Originality/value
This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.