Identifying the configurational paths to innovation in SMEs:a fuzzy-set qualitative comparative analysis

Using fuzzy-set qualitative comparative analysis (fsQCA), this study investigates the conditions leading to a higher level of innovation. More specifically, the study explores the impact of inter-organisational knowledge transfer networks and organisations' internal capabilities on different types of innovation in Small to Medium size Enterprises (SMEs) in the high-tech sector. A survey instrument was used to collect data from a sample of UK SMEs. The findings show that although individual factors are important, there is no need for a company to perform well in all the areas. The fsQCA, which enables the examination of the impacts of different combinations of factors, reveals that there are a number of paths to achieve better incremental and radical innovation performance. Companies need to choose the one that is closest to their abilities and fits best with their resources.

Modelling and linking transformations in EPCIS governing supply chain business processes

Supply chains comprise of complex processes spanning across multiple trading partners. The various operations involved generate large number of events that need to be integrated in order to enable internal and external traceability. Further, provenance of artifacts and agents involved in the supply chain operations is now a key traceability requirement. In this paper we propose a Semantic web/Linked data powered framework for the event based representation and analysis of supply chain activities governed by the EPCIS specification. We specifically show how a new EPCIS event type called "Transformation Event" can be semantically annotated using EEM - The EPCIS Event Model to generate linked data, that can be exploited for internal event based traceability in supply chains involving transformation of products. For integrating provenance with traceability, we propose a mapping from EEM to PROV-O. We exemplify our approach on an abstraction of the production processes that are part of the wine supply chain.

Advanced predictive-analysis-based decision support for collaborative logistics networks

Purpose – The purpose of this paper is to examine challenges and potential of big data in heterogeneous business networks and relate these to an implemented logistics solution. Design/methodology/approach – The paper establishes an overview of challenges and opportunities of current significance in the area of big data, specifically in the context of transparency and processes in heterogeneous enterprise networks. Within this context, the paper presents how existing components and purpose-driven research were combined for a solution implemented in a nationwide network for less-than-truckload consignments. Findings – Aside from providing an extended overview of today’s big data situation, the findings have shown that technical means and methods available today can comprise a feasible process transparency solution in a large heterogeneous network where legacy practices, reporting lags and incomplete data exist, yet processes are sensitive to inadequate policy changes. Practical implications – The means introduced in the paper were found to be of utility value in improving process efficiency, transparency and planning in logistics networks. The particular system design choices in the presented solution allow an incremental introduction or evolution of resource handling practices, incorporating existing fragmentary, unstructured or tacit knowledge of experienced personnel into the theoretically founded overall concept. Originality/value – The paper extends previous high-level view on the potential of big data, and presents new applied research and development results in a logistics application.

The Long-Term impact of Business Support? - Exploring the Role of Evaluation Timing using Micro Data

The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

The long-term impact of business support? - Exploring the role of evaluation timing using micro data

The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

Business and children`:mapping impacts, managing responsibilities

In recent years, issues of childhood obesity, unsafe toys, and child labor have raised the question of corporate responsibilities to children. However, business impacts on children are complex, multi-faceted, and frequently overlooked by senior managers. This article reports on a systematic analysis of the reputational landscape constructed by the media, corporations, and non-government organizations around business responsibilities to children. A content analysis methodology is applied to a sample of more than 350 relevant accounts during a 5-year period. We identify seven core responsibilities that are then used to provide a framework for enabling businesses to map their range of impacts on children. We set out guidelines for how to identify and manage the firm’s strategic responsibilities in this arena, and identify the␣constraints that corporations face in meeting such responsibilities.

Conclusion : on multiple levels of analysis, context, contingency and capital

In this concluding chapter, we bring together the threads and reflections on the chapters contained in this text and show how they relate to multi-level issues. The book has focused on the world of Human Resource Management (HRM) and the systems and practices it must put in place to foster innovation. Many of the contributions argue that in order to bring innovation about, organisations have to think carefully about the way in which they will integrate what is, in practice, organisationally relevant — but socially distributed — knowledge. They need to build a series of knowledge-intensive activities and networks, both within their own boundaries and across other important external inter-relationships. In so doing, they help to co-ordinate important information structures. They have, in effect, to find ways of enabling people to collaborate with each other at lower cost, by reducing both the costs of their co-ordination and the levels of unproductive search activity. They have to engineer these behaviours by reducing the risks for people that might be associated with incorrect ideas and help individuals, teams and business units to advance incomplete ideas that are so often difficult to codify. In short, a range of intangible assets must flow more rapidly throughout the organisation and an appropriate balance must be found between the rewards and incentives associated with creativity, novelty and innovation, versus the risks that innovation may also bring.

Business statistics using EXCEL and SPSS

'Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis for business students designed to be read by first- and second-year students on a business studies degree course that assumes little or no background in mathematics or statistics. Based on extensive knowledge and experience in how people learn and in particular how people learn mathematics, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding •Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples •Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know •Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book.

Elemzés vagy megérzés: a stratégiai döntéshozatal gyakorlata Californiában és Magyarországon = Analysis or Intuition: Strategic decision making in California and Hungary

Stratégiai döntéseket jellemzően a vállalatok felsővezetői, vezérigazgatók és elnökök hoznak. Ennek szellemében 40 felsővezetőt kérdeztünk két nagyon különböző régióban (Kaliforniában és Magyarországon) egy összehasonlító kutatás keretében. A két országban tizenkét válaszadó vezérigazgató, elnök, alelnök, vagy felelős vezető volt (rájuk, mint Vezetőkre hivatkoztunk), miközben nyolcan alapítói és többségi tulajdonosai voltak saját vállalkozásuknak (őket nevezzük Vállalkozóknak). A kutatás három területre irányult: 1) Hogyan hoznak döntéseket a felsővezetők a valóságban a világ e két különböző táján; 2) Mennyiben különböznek - ha egyáltalán különböznek - a Vállalkozók és a Vezetők az alkalmazott döntéshozatali közelítésmódot tekintve, amikor az analitikus gondolkodást az intuícióikkal kombinálják; 3) Mik a hasonlóságok és a különbségek a menedzsment képességekben és a döntéshozatali rutinokban a Vállalkozók és a Vezetők között a vizsgált menedzsment kultúrákban. = Strategic decision making is usually conducted by a firm’s top management, led by the CEO or the President of the company. In keeping with this, 40 top level managers in two very different regions (California, USA and Hungary) were targeted in a comparative research study. In the two countries, twelve of the managers were CEOs, Presidents, Vice Presidents or Chief Officers (hereafter referred to as Executives) while eight were founders and majority owners of their own enterprises (hereafter referred to as Entrepreneurs). The research focused on the following 3 areas: 1) How top level managers really make strategic decisions in these two different parts of the world; 2) How Entrepreneurs and Executives differ, if at all, in their approach to strategic decision making when they combine analytical thinking with their intuition; 3) The similarities and differences in management skills and decision making routines between Entrepreneurs and Executives within the investigated management cultures.

Out of credit: Evaluating the impact of the EU structural funds on Hungarian small business growth and access to finance

Totaling EUR 29 billion, Hungary is in the midst of implementing its largest economic development program in its young democratic history. At the center of the European Union led development program is an effort to revitalize and reequip Hungary’s languishing small and medium sized enterprises (SME), long the country's heart of employment. This paper examines the efficiency and impact of two Structural Fund's instruments to enhance SME development – ECOP 2.1.1 and JEREMIE. A survey of 1275 SME and interviews with dozens of top policy-makers paint a flawed development program in dire need of reform. Despite this, empirical analysis suggests JEREMIE funds may have dampened the effects of the financial crisis and are crucial for the continued liquidity of SME, who have been particularly hit hard by the world financial crisis.

The analysis of bullwhip effect in a HMMS-type supply chain

The aim of the paper is to investigate the well-known bullwhip effect of supply chains. Control theoretic analysis of bullwhip effect is extensively analyzed in the literature with Laplace transform. This paper tries to examine the effect for an extended Holt-Modigliani-Muth-Simon model. A two-stage supply chain (supplier-manufacturer) is studied with quadratic costs functional. It is assumed that both firms minimize the relevant costs. The order of the manufacturer is delayed with a known constant. Two cases are examined: supplier and manufacturer minimize the relevant costs decentralized, and a centralized decision rule. The question is answered, how to decrease the bullwhip effect.

Labour productivity change: drivers, business impact and macroeconomic moderators

This paper focuses on the operational drivers of labour productivity changes. We consider two sets of drivers: a) current working practices b) changes in working practices through management programs. The relationship between these two sets of drivers and productivity changes are analysed. We also investigate the importance of productivity growth by looking at the impact of labour productivity changes on business performance changes. Finally, the moderating effects of industry and country on the use of drivers of productivity changes are examined. Data from an international survey, IMSS-IV, are used for the analysis.

A globe-kutatás kultúraváltozóinak vizsgálata faktoranalízis segítségével (Cultural variables of the GLOBE research computed by factor analysis)

A szervezeti kultúraváltozók nem függetlenek egymástól. A tanulmány a GLOBE társadalmi kultúra, társadalmi értékek és a kettő különbségéből képzett differenciaváltozók faktoranalízisével kísérel meg főfaktorokat meghatározni és azokat értelmezni. / === / The cultural variables are not independent. This paper describes and discusses consolidated cultural variables computed by factor analysis from 9 original GLOBE variables of societal paracices, societal values, and differentiation scales.

How can economic sociology help business relationship management?

Purpose – By analyzing organizations as social actors and business relationships as social relationships, sociology can improve business relationship management. This paper aims to explore the issues involved. Design/methodology/approach – A business relationship is an interactive exchange between two organizations embedded in a network of business connections. The paper reviews theories of social actions and social actors and the concepts of economic field and embeddedness to illustrate some social dimensions of business relationships. Findings – Social action and social actor theories emphasize that co-operation is always encumbered with conflicts, that consciousness about the relationship is fundamental for both strongly and weakly structured actors, and that actors (people involved in a business relationship) always have some freedom of manoeuvre. The concept of economic field underscores the specificity of each business relationship and the critical need for concrete analysis. The concept of embeddedness highlights that no business relationship is possible without personal bonds. Research limitations/implications – These are the first results of a deeper and broader research directed towards a conceptual model of business relationship management. Practical implications – The paper can help managers to analyze more deeply the social dimensions of business relations with both suppliers and buyers. Consciousness, the ongoing presence of conflicts, the unavoidable role of personal bonds, and interactivity are always relevant in business relationship management. Originality/value – The paper integrates sociological and business marketing approaches. It applies essential sociological theories and concepts to business relationship management.

Marketing-szemléletmód és az üzleti kapcsolatok (Marketing-outlook and business relations)

A cikk az üzleti kapcsolatok marketingértelmezéséről szól. A marketing a piaci magatartás tudománya. A két vagy több partner között megvalósuló piaci tranzakció a marketing alapvető elemzési egysége. A piac dinamikáját a tranzakciók ismétlődései jelentik. Az ismétlődő tranzakciókból épülnek fel a piaci kapcsolatok.. A szervezetközi piac a gazdasági és nem gazdasági szereplők egymással kölcsönös függőségben lévő, a társadalmi környezetbe beágyazott kapcsolatrendszere, amelyben a tevékenységek és az erőforrások cseréje zajlik. A cikk kitér annak rövid bemutatására, hogy a különböző marketingterületek miként járulnak hozzá az üzleti kapcsolatok megismeréséhez. A szerző meghatározása szerint az üzleti kapcsolat az üzleti hálózatba ágyazott két szervezet közötti interaktív cserekapcsolatot jelent. A definíció kifejtése során bemutatásra kerülnek az üzleti kapcsolatok érintettjei, legfontosabb folyamatai, valamint a kapcsolat létének néhány következménye. __________ The article discusses the interpretation of business relations within the field of marketing. Marketing is the science of market behaviour. The basic segment of marketing analysis is the market transaction between two or more persons. The dynamics of the market is created by the repetition of transactions. Repeated transactions make market relations. Inter-organizational market is a network of interdependent relations among economic and non-economic actors embedded into the social environment, serving as a platform for the exchange of actions and resources. The article shortly describes how the different areas of marketing contribute to the knowledge of business relations. According to the author, business relations are interactive exchange relations between two organizations embedded in the business network. The detailed explanation of the definition introduces the parties involved in business relations, the most important processes, and some consequences of the existence of the relation.