15 research outputs found

    A dynamic capabilities-based entrepreneurial theory of the multinational enterprise

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    The development of the DDG-capability in firms: An evaluation of its impact on firm financial performance

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    We examine whether firms that develop the Digital Data Genesis dynamic capability show higher performance. Using detailed survey data on the capabilities developed by companies by the usage of digital data and firm financial performance of 96 firms, we find that the firms that develop the DDG dynamic capability have levels of ROA, ROS and revenue growth higher than others do. Our results provide one of the first empirical evidence on the direct link between DDG dynamic capability and firm financial performanc

    Economic Crisis Policy Analytics Based on Artificial Intelligence

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    Part 4: AI, Data Analytics and Automated Decision MakingInternational audienceAn important trend in the area of digital government is its expansion beyond the support of internal processes and operations, as well as transactions and consultations with citizens and firms, which were the main objectives of its first generations, towards the support of higher-level functions of government agencies, with main emphasis on public policy making. This gives rise to the gradual development of policy analytics. Another important trend in the area of digital government is the increasing exploitation of artificial intelligence techniques by government agencies, mainly for the automation, support and enhancement of operational tasks and lower-level decision making, but only to a very limited extent for the support of higher-level functions, and especially policy making. Our paper contributes towards the advancement and the combination of these two important trends: it proposes a policy analytics methodology for the exploitation of existing public and private sector data, using a big data oriented artificial intelligence technique, feature selection, in order to support policy making concerning one of the most serious problems that governments face, the economic crises. In particular, we present a methodology for exploiting existing data of taxation authorities, statistical agencies, and also of private sector business information and consulting firms, in order to identify characteristics of a firm (e.g. with respect to strategic directions, resources, capabilities, practices, etc.) as well as its external environment (e.g. with respect to competition, dynamism, etc.) that affect (positively or negatively) its resilience to the crisis with respect to sales revenue; for this purpose an advanced artificial intelligence feature selection algorithm, the Boruta ‘all-relevant’ variables identification one, is used. Furthermore, an application of the proposed economic crisis policy analytics methodology is presented, which provides a first validation of the usefulness of our methodology

    The Effect of Strategic Alignment of Complementary IT and Organizational Capabilities on Competitive Firm Performance

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    This study explores how firm performance can be explained from the strategic alignment of information technology (IT) and organizational capabilities, i.e., IT flexibility, dynamic capabilities, and absorptive capacity. We build upon dynamic capabilities theory and conceptualize our research model through the lens of strategic alignment methods. Then, we empirically test our main hypothesis using PLS-SEM analysis on a sample of 322 international firms. Outcomes show that measurements and indicators of all first-order and higher-order constructs are reliable and valid. Results also indicate that there is a positive relationship between strategic alignment and competitive firm performance. This study highlights the importance of alignment between IT and organizational capabilities. Strategic alignment can, therefore, be seen an important facilitator of competitive firm performance in constantly changing environments. We conclude with a discussion and conclusion, outline limitations of the current study and present some directions for future research

    Effect of information management capability on organizational performance

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    [EN] This study assesses the value for organizations of effectively managing information. It develops the information management concept from the resourcebased view and proposes and validates a scale to measure the capability of information management in an organization. Empirical research in the Spanish IT consulting and telecommunication sectors enables us to vouch for the positive causal relation between information management capability and three different measures of organizational performance: competitive position, productivity, and customer satisfaction.The authors thank the financial support from project DER2015-65519-C2-2-R MINECO/FEDER, UE.Devece Carañana, CA.; Palacios Marqués, D.; Martínez Simarro, D. (2017). Effect of information management capability on organizational performance. Service Business. 11(3):563-580. https://doi.org/10.1007/s11628-016-0320-7S563580113Bagozzi RP (1981) Evaluating structural equation models with unobservable variables and measurement error: a comment. J Mark Res 18(3):375–381Barney JB (1986) Strategic factor markets. Expectations, luck and business strategy. Manag Sci 32(10):1231–1241Bharadwaj AS (2000) A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS Quart 24(1):169–198Bharati P, Berg D (2005) Service quality from the other side: information systems management at Duquesne Light. Int J Inf Manag 25(4):367–380Chan YE (2000) IT value: the great divide between qualitative and quantitative and individual and organizational measures. J Manag Inf Syst 6(4):225–261Chatterjee D, Pacini C, Sambamurthy V (2002) The shareholder-wealth and trading-volume effects of information-technology infrastructure investments. J Manag Inf Syst 19(2):7–42Chen JL (2012) The synergistic effects of IT-enabled resources on organizational capabilities and firm performance. Inf Manag 49(3–4):142–150Chiasson MW, Davidson E (2005) Taking industry seriously in information systems research. MIS Quart 29(4):591–605Clemons EK, Row MC (1991) Sustaining IT advantage. The role of structural differences. MIS Quart 15(3):275–292Davenport TH (1999) Human-centered information management. In Harvard business review of the business value of IT. Harvard Business School Press, BostonDehning B, Richardson VJ, Stratopoulos T (2005) Information technology investments and firm value. Inf Manag 42(7):989–1008Devece C (2013) The value of business managers’ IT competence. Serv Ind J 33(7–8):720–733Devece C, Peris-Ortiz M, Rueda-Armengot C (2015) A scale for measuring information management in organisations. Gestion 2000 2:49–60Dewett T, Jones GR (2001) The role of information technology in the organization: a review, model, and assessment. J Manag 27(3):313–346Drnevich PL, Croson DC (2013) Information technology and business-level strategy: toward an integrated theoretical perspective. MIS Quart 37(2):483–509Galbraith JR (1973) Designing complex organizations. Addison Wesley, ReadingGrant RM (1991) The resource-based theory of competitive advantages. Implications for strategy formulation. Calif Manag Rev 33(3):114–135Gribbons BC, Hocevar D (1998) Levels of aggregation in higher level confirmatory factor analysis: application for academic self-concept. Struct Equ Model 5(4):377–390Guimaraes T (1988) Information resource management. Improving the focus. J Syst Manag 1(1):10–19Hair HF, Anderson RE, Tatham RL, Black WC (1999) Análisis multivariante. Prentice Hall, MadridHayduk LA, Littvay L (2012) Should researchers use single indicators, best indicators, or multiple indicators in structural equation models? BMC Med Res Methodol 12:159Jain V, Kanungo S (2005) Beyond perceptions and usage: impact of nature of information systems use on information system-enabled productivity. Int J Hum Comput Interact 19(1):113–136Jeffers PI, Muhanna WA, Nault BR (2008) Information technology and process performance: an empirical investigation of the interaction between IT and non-IT resources. Decis Sci 39(4):703–735Jessup LM, Valacich JS (2008) Information systems today, 3rd edn. Pearson Publishing, New YorkLewis BR, Byrd TA (2003) Development of a measure for the information technology infrastructure construct. Eur J Inf Syst 12(2):94–108Liang TP, You JJ, Liu CC (2010) A resource-based perspective on information technology and firm performance: a meta-analysis. Ind Manag Data Syst 110(8–9):1138–1158Lim ETK, Pan SL, Tan CW (2005) Managing user acceptance towards enterprise resource planning (ERP) systems—understanding the dissonance between user expectations and managerial policies. Eur J Inf Syst 14(2):135–149Lin WT, Shao BM (2006) The business value of information technology and inputs substitution: the productivity paradox revisited. Decis Support Syst 42(2):493–507Lockett A, Thompson S, Morgenstern U (2009) The development of the resource-based view of the firm: a critical appraisal. Int J Manag Rev 11(1):9–28Mackenzie SS, Podsakoff PM, Podsakoff NP (2011) Construct measurement and validation procedures in MIS and behavioural research: integrating new and existing techniques. MIS Quart 35(2):293–334Marchand DA, Kettinger WJ, Rollins JO (2002) Information orientation: the link to business performance. Oxford University Press, New YorkMata FJ, Fuerst WL, Barney JB (1995) Information technology and sustained competitive advantage: a resource-based analysis. MIS Quart 19(4):487–505McEvily S, Chakravarthy B (2002) The persistence of knowledge-based advantage: an empirical test for product performance and technological knowledge. Strateg Manag J 23:285–305Melville N, Kraemer K, Gurbaxani V (2004) Information technology and organizational performance: an integrative model of IT business value. MIS Quart 28(2):283–322Mithas S, Ramasubbu N, Sambamurthy V (2011) How information management capability influences firm performance. MIS Quart 35(1):237–256Nelson RR (1991) Why do firms differ, and how does it matter? Strateg Manag J 12(1):61–74OECD (1999) Science, technology and industry scoreboard. Benchmarking knowledge-based economies. OECD Publications Service, ParisPena-Vinces J, Cepeda-Carrion G, Chin WW (2012) Effect of ITC on the international competitiveness of firms. Manag Decis 50(6):1045–1061Perez-Lopez S, Alegre J (2012) Information technology competency, knowledge processes and firm performance. Ind Manag Data Syst 112(3–4):644–662Peteraf MA (1993) The cornerstone of competitive advantage. A resource-based view. Strateg Manag J 14(3):179–191Piccoli G, Yves B (2005) IT dependent strategic initiatives and sustained competitive advantage: a review and synthesis of the literature. MIS Quart 29(4):747–776Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–903Porter ME, Millar VE (1985) How information gives you competitive advantage. Harv Bus Rev 64(4):149–160Powell TC, Dent-micallef A (1997) Information technology as competitive advantage: the role of human, business and technology resources. Strateg Manag J 18(5):375–405Ravichandran T, Lertwongsatien C (2005) Effect of information systems resources and capabilities on firm performance: a resource-based perspective. J Manag Inf Syst 21(4):237–276Ray G, Barney JB, Muhanna WA (2004) Capabilities, business processes, and competitive advantage: choosing the dependent variable in empirical tests of the resource-based view. Strateg Manag J 25(1):23–37Ray G, Muhanna WA, Barney JB (2005) Information technology and the performance of the customer service process: a resource-based analysis. MIS Quart 2(4):625–652Santhanam R, Hartono E (2003) Issues in linking information technology capability to firm performance. MIS Quart 27(1):125–153Satorra A, Bentler PM (2001) A scaled difference chi square test statistic for moment structure analysis. Psychometrika 66(4):507–514Schryen G (2013) Revisiting IS business value research: what we already know, what we still need to know, and how we can get there. Eur J Inf Syst 22(2):139–169Scott-Morton M (1991) The corporation of the 1990s: information technology and organizational transformation. Oxford Press, New YorkService RW, Maddux HS (1999) Building competitive advantage through information systems: the organizational information quotient. J Inf Sci 25(1):51–65Steventon A, Jackson TW, Hepworth M, Curtis S, Everitt C (2012) Exploring and modelling elements of information management that contribute towards making positive impacts: an outcome based approach for senior managers in a local government setting. Int J Inf Manag 32(2):158–163Thatcher ME, Oliver JR (2001) The impact of technology investments on a firm’s production efficiency, product quality, and productivity. J Manag Inf Syst 18(2):17–45Tippins MJ, Sohi RS (2003) IT competency and firm performance: is organizational learning a missing link? Strateg Manag J 24(8):745–761Valor J, Sieber S (2005) Competition in Spain’s telecommunications sector. E-business center PricewaterhouseCoopers and IESE. http://www.iese.edu/en/files/6_15804.pdfWade M, Hulland J (2004) The resource-based view and information systems research: review, extension, and suggestions for future research. MIS Quart 28(1):107–142Wheelen TL, Hunger JD (2012) Strategic management and business policy: achieving sustainability, 13th edn. Prentice Hall, Upper Saddle RiverWinter SG (2003) Understanding dynamic capabilities. Strateg Manag J 24(10):991–995Wong CWY, Lai KH, Cheng TCE (2009) Complementarities and alignment of information systems management and supply chain management. Int J Shipp Transp Logist 1(2):156–171Yeh C, Lee G, Pai J (2012) How information systems capability affects e-business information technology strategy implementation: an empirical study in Taiwan. Bus Process Manag J 18(2):197–218Zhang MJ, Lado AA (2001) Information systems and competitive advantage: a competency-based view. Technovation 21(3):147–156Zortea-Johnston E, Darroch J, Matear S (2012) Business orientations and innovation in small and medium sized enterprises. Int Entrep Manag J 8(2):145–16

    Strategic goal accomplishment in export ventures: the role of capabilities, knowledge, and environment

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    The management literature suggests that setting strategic goals facilitates the identification of appropriate business strategies and focuses management attention and available resources on their accomplishment, enabling subsequent goal realization. Yet the literature also indicates that firms often find it difficult to realize their strategic goals and may find it even more challenging to do so when operating in foreign markets. However, little is known empirically about the extent to which strategic goals enable desired strategic positions to be achieved and factors that may affect this relationship. We examine this important issue using primary data from a sample of exporting manufacturers. Results support the existence of previously theorized strategic goal–realized strategic position gaps and show that these negatively impact performance. Thus, simply setting strategic goals does not necessarily aid in accomplishing the desired outcomes, and any failure to do so is costly. Drawing on organization theory, we find that internal capabilities and knowledge, and external market factors play important roles in minimizing such strategic goal–realized strategic position gaps. Specifically, we show that businesses with stronger architectural capabilities, those with higher levels of internationalization, and those operating in less dynamic market environments are better able to realize their intended strategic objectives and thereby enjoy superior performance
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