Volunteer tourism : the new ecotourism?

One of the more recent forms of tourism to emerge is what has become known as Volunteer Tourism, the practice of individuals going on a working holiday, volunteering their labour for worthy causes. While volunteering is a well-established activity, the combination with tourism is relatively new and has already changed considerably over a very short period. This paper reviews the process by which volunteer tourism has developed, focusing on its transformation from an individual altruistic endeavour to a more commercial form of conventional tourism. The paper reviews the growth in number of websites devoted to volunteer tourism, and discusses the changes that have taken place in the content and focus of these websites, the locations used as destinations and the organisations they represent over the last two decades. It is apparent that over the last two decades the organisations offering volunteer tourist vacations have increasingly focused their attention on conventional commercial tourism markets which is a similar pattern of evolution to that of ecotourism. The paper concludes that volunteer tourism is likely to become increasingly diverse in scale, distribution and focus in the future, in the same way as ecotourism has broadened its market and appeal, but in so doing, will lose more of the distinctive features that characterized its initial form

Using protocol analysis to explore the creative requirements engineering process

Protocol analysis is an empirical method applied by researchers in cognitive psychology and behavioural analysis. Protocol analysis can be used to collect, document and analyse thought processes by an individual problem solver. In general, research subjects are asked to think aloud when performing a given task. Their verbal reports are transcribed and represent a sequence of their thoughts and cognitive activities. These verbal reports are analysed to identify relevant segments of cognitive behaviours by the research subjects. The analysis results may be cross-examined (or validated through retrospective interviews with the research subjects). This paper offers a critical analysis of this research method, its approaches to data collection and analysis, strengths and limitations, and discusses its use in information systems research. The aim is to explore the use of protocol analysis in studying the creative requirements engineering process.<br /

Rethinking utility analysis: a strategic focus

Utility analysis is a technique which allows for the estimation of the financial impact of human resource (HR) interventions. While utility analysis methods have been available for decades, their application is still not widespread. Some argue that this is because managers do not understand the techniques and suggest that allowing managers to participate in the analysis would increase understanding and, as a results, use and acceptance of utility analysis. The current work posits that translating the value of HR interventions into financial terms may not be necessary. It may be more useful to determine the direct impact of HR programs on employee behaviors and attitudes. The impact of these changes on the bottom line may then be determined. Building upon the recently proposed multi-attribute utility analysis and the strategic perspective offered by the Balanced Scorecard, this paper presents a strategic utility analysis method. Strategic utility analysis requires that multiple outcomes, not only financial, be considered in order to determine the utility of a given HR intervention. It further stipulates that these outcomes should come directly from the company's business strategy. The strategy should imply certain organizational capabilities and strategic utility analysis should measure the contribution of HR interventions towards building these specific capabilities

Supply Chain Management and Management Science: A Successful Marriage

The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented

A dynamic model of extreme risk coverage : resilience and efficiency in the global reinsurance market

This paper presents a dynamic model of the reinsurance market for catastrophe risks. The model is based on the classical capacity-constraint assumption. Reinsurers choose every year the quantity of risk they cover and the level of external capital they raise to cover these risks. The model exhibits time dependency and reproduces a market dynamics that shares many features with the real market. In particular, market price increases and reinsurance coverage decreases after large shocks, and a series of smaller losses may have a deeper impact than one larger loss. There is a significant oligopoly effect reducing reinsurance supply, and the market is segregated into strategic large actors that influence market prices and price-taker smaller firms. A regulation trade-off between market efficiency and resilience is identified and quantified: improving the ability of the market to cope with exceptional events increases the cost of reinsurance. This model provides an interesting basis to analyze further capacity needs for the insurance industry in view of growing worldwide exposure to catastrophic risks and climate change.Markets and Market Access,Insurance&Risk Mitigation,Climate Change Economics,Debt Markets,Emerging Markets

Artificial Intelligence and Bank Soundness: Between the Devil and the Deep Blue Sea - Part 2

Banks have experienced chronic weaknesses as well as frequent crisis over the years. As bank failures are costly and affect global economies, banks are constantly under intense scrutiny by regulators. This makes banks the most highly regulated industry in the world today. As banks grow into the 21st century framework, banks are in need to embrace Artificial Intelligence (AI) to not only to provide personalized world class service to its large database of customers but most importantly to survive. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions challenges from the main strand of CAMELS into distinct categories of AI into 1(C), 4(A), 17(M), 8 (E), 1(L), 2(S) categories that banks and regulatory teams need to consider in evaluating AI use in banks. Although AI offers numerous opportunities to enable banks to operate more efficiently and effectively, at the same time banks also need to give assurance that AI ‘do no harm’ to stakeholders. Posing many unresolved questions, it seems that banks are trapped between the devil and the deep blue sea for now

Does the factor theory of satisfaction explain political voting behaviour?

Purpose – The validity of the three factor theory of satisfaction in explaining consumer decision making for products and services is well established. This paper explains voter perceptions and voting behaviour in the 2010 UK General Election on the basis of this theory, by evaluating the differential impact of government performance on key political issues defined as hierarchical voter satisfaction factor types. Design/methodology/approach – British Election Survey (2010) data is used to test the relative influence of hierarchical voter satisfaction factor types in predicting: (1) the perceived overall performance of the former Labour government; (2) actual voting behaviour. Sequential and multinomial logistic regression models are used in (1) and (2), respectively. Findings – ‘Basic’ factors explain more of the variance in perceived overall government performance and voting behaviour than ‘performance’ factors. There are significant positive main and interaction effects on Conservative and Liberal Democrat party votes from Labour’s under performance on the ‘basic’ factors. The results have important implications for political marketing and voting behaviour research. Originality/value – The study establishes the relevance of the three factor theory of satisfaction within a political marketing context. It demonstrates that, controlling for party loyalty, perceived government performance on the hierarchical voter satisfaction factors explains voter perceptions and voting behaviour to a significant degree. In particular, it highlights the criticality for voting behaviour of both the direct and indirect impacts of ‘basic’ factor under performance. Keywords - political marketing, three factor theory, voting behaviour</p

THE ROLE OF COUNTRY OF ORIGIN, PERCEIVED VALUE, TRUST, AND INFLUENCER MARKETING IN DETERMINING PURCHASE INTENTION IN SOCIAL COMMERCE

The paper aims to improve understanding about the causes why customers intend to purchase online through social media networks. The study examined factors affecting purchase intention namely: country of origin effect, trust, perceived value, and influencer marketing on the willingness of buyers to purchase clothes through social commerce. A questionnaire was established for data collection, and 400 forms were collected in Lebanon, and were analyzed using SEM to examine the relationships in the conceptual framework suggested. Results designated that country of origin, trust, and perceived value were three significant precursors of customers’ purchase intention in the context of social commerce. Moreover, country of origin and perceived value can impact trust beliefs; and influencer marketing could enhance perceived value of commodity purchased. This research suggests vital inferences to both scholars and professionals and highlights the implications of factors’ motivating intention to buy from vendors in social media networks. The paper is amid the early efforts to evaluate the effect of country of origin on intention to purchase among consumers in social commerce settings

The impact of valuation rules for intangible assets in Japanese and German accounts of listed companies : [Version April 2003]

Intangible assets as goodwill, licenses, research and development or customer relations become in high technology and service orientated economies more and more important. But comparing the book values of listed companies and their market capitalization the financial reports seems to fail the information needs of market participants regarding the estimate of the proper firm value. Moreover, with the introduction of Anglo-American accounting systems in Europe and Asia we can observe even in the accounts of companies sited in the same jurisdiction diverging accounting practices for intangible assets caused by different accounting standards. To assess the relevance of intangible assets in Japanese and German accounts of listed companies we therefore measure certain balance sheet and profit and loss relations according to goodwill and self-developed software. We compare and analyze valuation rules for goodwill and software costs according to German GAAP, Japanese GAAP, US GAAP and IAS to determine the possible impact of diverging rules in the comparability of the accounts. Our results show that the comparability of the accounts is impaired because of different accounting practices. The recognition and valuation of goodwill and self-developed software varies significantly according to the accounting regime applied. However, for the recognition of self-developed software, the effect on the average impact on asset coefficients or profit is not that high. Moreover, an industry bias can only be found for the financial industry. In contrast, for goodwill accounting we found major differences especially between German and Japanese Blue Chips. The introduction of the new goodwill impairment only approach and the prohibition of the pooling method may have a major impact especially for Japanese companies’ accounts

The first global entertainment company: Explaining Pathe's dominance in the pre-Hollywood film industry

For almost a decade before Hollywood existed, French firm Pathe towered over the early film industry with estimates of its share of all films sold around the world varying between 50-70%. Pathe was the first global entertainment company. This paper analyses its rise to market leadership by applying a theoretical framework drawn from the business literature on causes of industry dominance, which provides insights into how firms acquire and maintain market dominance and in this case the film industry. This paper uses evidence presented by film historians to argue that Pathe "fits" the expected theoretical model of a dominant firm because it had a marketing orientation, used an effective quality-based competitive strategy and possessed the six critical marketing capabilities that business research shows enable the best performing firms to consistently outperform rivals