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An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.

This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.

Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.

The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.

Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.

The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.

This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.

Cross border managers are an important feature of the global economy. Despite this, research evidence suggests that the primary selection criteria for cross border managers are technical expertise and domestic business knowledge. This has resulted in insufficient numbers of high calibre candidates to meet the demands of today's global business context. This paper aims to argue that an understanding of an individual's value orientations is important for selecting cross border managers and predicting subsequent performance.

The paper reports the testing of a multidimensional value orientated taxonomy on a sample of 658 managers employed by three multinational organisations. The model was tested via SEM. OLS multiple regression was carried out to identify whether the dimensions of the taxonomy predict the performance of managers in cross border roles.

Results yielded sound factor structure of the taxonomy with a single factor solution identified on each of the two individual value dimensions. SEM confirmed significant relationships and a sound goodness‐of‐fit of the model. OLS regression results indicated that the model accurately predicted the performance of managers during cross border assignments.

Surveys were administered at one point in time and do not account for any change in value orientations.

The model and results provide guidance to HRM professionals for selecting candidates for cross border business roles.

The study addresses a limitation of earlier work by testing the efficacy of the multi‐dimensional taxonomy with a larger and more diverse sample. The paper evaluates the strength of the taxonomy in predicting performance.

Sport has evolved into one of the largest industries in Australia and there is a corresponding increased interest in the factors influencing fan loyalty. This paper presents a theoretically developed conceptual model which empirically tests the relationships between fan identification, sports involvement, following sport and fan loyalty. Survey results indicate that fan identification, following sport and involvement positively influence fan loyalty, while following sport was found to mediate the involvement-fan identification relationship.

The task of a document retrieval system is to match a query, perhaps in natural language, against a large number of natural language documents. Neural networks are known to be good pattern matchers. This article describes investigations in implementing a document retrieval system based on a neural network model. It shows that many of the standard strategies of information retrieval are applicable in a neural network model.

Identifies key activities that network users can perform in order to use the network effectively. Offers recommended reading, from beginner to expert user status. Explains some commonly used terms (e.g. Turbo Gopher with Veronica!). Lists useful Internet resources.

Although literature exists that profiles the effects of technology on sport, there has been little exploration into the specific effects of media technologies. This case study contributes to the existing literature on the convergence of technology and sport by examining which of five key media technologies will have the greatest impact upon the televised ice hockey product. The results demonstrate the importance of forecasting media technology in sport.

American business enterprise is increasingly seeking export markets for products as a means of expansion, and in some instances to offset loss in domestic business due to declining markets or international competitors. This paper deals with market segmentation and its role in the successful positioning of products in foreign markets. More specifically, the focus here is how consumer political identifications and ideological values can be used as a basis for effectively segmenting markets. To U.S. firms, the potential benefit of gaining this insight is twofold. First, firms may thus have at their disposal a segmentation tool as yet unrecognized by competitors. Second, politics and political ideology have constructs which appear to be common to most election‐based governmental forms; thus the segmentation applications explored here would be transferable to foreign markets, whereas many other more conventional means of segmentation transfer poorly from the U.S. to other countries.

This study explores the linkages between various attributes, consequences and values of casino restaurants and the differences in the hierarchical value maps between female and male customers and between casino players and non-casino players.

This study was conducted using the means-end chain (MEC) theory. The data were collected using the hard-laddering method. Two hundred forty-one responses were analyzed.

Attributes such as “taste,” “reasonable prices,” and “discounts” were associated with the values “personal happiness,” “considered,” “life satisfaction,” and “life-quality enhancement” at casino restaurants. Males were found to hold “prompt services” as important when dining at casino restaurants, while females held a “spacious environment” to be critical. Furthermore, “use of casino complimentary credits” was important to casino players, while “free parking” and “comfortable seats” mattered for non-casino players.

It is suggested that casinos add more Asian cuisines in their casino restaurants in Macao to attract customers who value culinary and cultural exploration while simultaneously satisfying tourists from neighboring regions who wish to enjoy familiar foods when they visit Macao. In addition, the authors recommend that casinos develop menu items that can be served quickly to casino players.

This study is based on the MEC theory and broadens the range of studies on casino restaurants. Furthermore, it provides useful information to guide casino restauranteurs in developing their marketing and operational strategies for different customer segments.

The main goal of this study is to analyze how monetary debt effects firm behavior of 167 registered manufacturing companies in G-7 countries.

The sample of the present study is taken from the listed firms in G-7 countries. For the building companies, the yearly financial statements of 2007–2018 have been taken from world stock exchange and Thomson Reuters Data Stream. In this study, regression analysis are directed with panel data over the period of 2007–2018 using ordinary least square summary statistics, correlation matrix and generalized method moments. Data were analyzed by employing E Views and Stata 13 software.

The significant findings of the current study indicated that fixed assets, tangible assets, taxes, net cash and profitability have positive association with debt level.

The current work include only registered manufacturing firms in G-7 countries. Moreover, ownership types are not accounted for in this study.

The current analysis is an empirical investigation of antecedents of debt regarding G-7 countries with up-to-date data. Various regression inquires have been made to design the models using different measures of debt and measure of firm performance indicators. These works will assist G-7 countries firms to know the effects of identified factors on time raising debt level.

The current work has been finalized using genuine data of yearly reports and database. This study incorporated antecedents of debt, which have limited discourse in prior literature. Furthermore, this study explores the connection between debt level and firm performance of G-7 countries.

A framework for evaluating public opinion towards franchising is proposed and empirically tested in an emerging market, India. Franchising in an emerging market was selected as the context because – (1) future growth is likely to come from newly emerging markets, (2) franchising is primarily seen as a foreign concept in emerging markets and has attracted its fair share of attention, both positive and negative. The results indicate that people evaluate franchising using four key factors – well being of small businesses, socio‐economic, socio‐cultural well being, and employment opportunity. This study further investigates the relationship between these factors and patronage behaviour. Some of these factors were associated with patronage behaviour and the associated residual feeling. Clearly, in order to succeed in emerging and developing markets, the franchising industry must pay heed to public opinion.