Integration with other data and systems

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKapitel samlingsverk

Standard

Integration with other data and systems. / Kajtazi, Miranda; Tona, Olgerta.

The Routledge Companion to Accounting Information Systems. red. / Martin Quinn; Erik Strauss. Routledge/ Taylor and Francis Group, 2017. s. 251-261.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKapitel samlingsverk

Harvard

Kajtazi, M & Tona, O 2017, Integration with other data and systems. i M Quinn & E Strauss (red), The Routledge Companion to Accounting Information Systems. Routledge/ Taylor and Francis Group, s. 251-261. https://doi.org/10.4324/9781315647210

APA

Kajtazi, M., & Tona, O. (2017). Integration with other data and systems. I M. Quinn, & E. Strauss (Red.), The Routledge Companion to Accounting Information Systems (s. 251-261). Routledge/ Taylor and Francis Group. https://doi.org/10.4324/9781315647210

CBE

Kajtazi M, Tona O. 2017. Integration with other data and systems. Quinn M, Strauss E, redaktörer. I The Routledge Companion to Accounting Information Systems. Routledge/ Taylor and Francis Group. s. 251-261. https://doi.org/10.4324/9781315647210

MLA

Kajtazi, Miranda och Olgerta Tona "Integration with other data and systems". och Quinn, Martin Strauss, Erik (redaktörer). The Routledge Companion to Accounting Information Systems. Routledge/ Taylor and Francis Group. 2017, 251-261. https://doi.org/10.4324/9781315647210

Vancouver

Kajtazi M, Tona O. Integration with other data and systems. I Quinn M, Strauss E, redaktörer, The Routledge Companion to Accounting Information Systems. Routledge/ Taylor and Francis Group. 2017. s. 251-261 https://doi.org/10.4324/9781315647210

Author

Kajtazi, Miranda ; Tona, Olgerta. / Integration with other data and systems. The Routledge Companion to Accounting Information Systems. redaktör / Martin Quinn ; Erik Strauss. Routledge/ Taylor and Francis Group, 2017. s. 251-261

RIS

TY - CHAP

T1 - Integration with other data and systems

AU - Kajtazi, Miranda

AU - Tona, Olgerta

PY - 2017/1/1

Y1 - 2017/1/1

N2 - As the new generation of Information Technology is progressing at a rapid pace, with big data establishing a trend in organisations, integration between systems becomes substantial. In this chapter, we particularly look at information security as a system that has become an essential part of Business Intelligence (BI). BI systems represent one type of decision support system (DSS) with a focus on data analysing and presenting actionable information to decision-makers in an accessible and visual manner (Watson and Wixom, 2007). The way business information is presented and delivered through BI (Watson, 2009) can provide support to employees’ decision-making processes (Kowalczyk and Buxmann, 2014; Popovic et al., 2012) and affect organisational knowledge (Shollo and Galliers, 2015). In recent years, BI has been integrated aggressively in many different industries (Arnott and Pervan, 2008), including retail, telecommunication, healthcare, transportation and financial services (Chaudhuri et al., 2011). The rapid growth of mobile computing (Arnott and Pervan, 2014; Hosack et al., 2012) is challenging and changing the BI field (Watson, 2009). Mobile technologies extend BI usage scenario beyond users’ office desks and hours, giving rise to an extension of BI, coined as mobile business intelligence (m-BI). m-BI is defined as “data-driven decision support applications on mobile devices like smartphones and tablet computers” (Power, 2013, p. 6).

AB - As the new generation of Information Technology is progressing at a rapid pace, with big data establishing a trend in organisations, integration between systems becomes substantial. In this chapter, we particularly look at information security as a system that has become an essential part of Business Intelligence (BI). BI systems represent one type of decision support system (DSS) with a focus on data analysing and presenting actionable information to decision-makers in an accessible and visual manner (Watson and Wixom, 2007). The way business information is presented and delivered through BI (Watson, 2009) can provide support to employees’ decision-making processes (Kowalczyk and Buxmann, 2014; Popovic et al., 2012) and affect organisational knowledge (Shollo and Galliers, 2015). In recent years, BI has been integrated aggressively in many different industries (Arnott and Pervan, 2008), including retail, telecommunication, healthcare, transportation and financial services (Chaudhuri et al., 2011). The rapid growth of mobile computing (Arnott and Pervan, 2014; Hosack et al., 2012) is challenging and changing the BI field (Watson, 2009). Mobile technologies extend BI usage scenario beyond users’ office desks and hours, giving rise to an extension of BI, coined as mobile business intelligence (m-BI). m-BI is defined as “data-driven decision support applications on mobile devices like smartphones and tablet computers” (Power, 2013, p. 6).

UR - http://www.scopus.com/inward/record.url?scp=85045354159&partnerID=8YFLogxK

U2 - 10.4324/9781315647210

DO - 10.4324/9781315647210

M3 - Book chapter

SN - 9781138125865

SP - 251

EP - 261

BT - The Routledge Companion to Accounting Information Systems

A2 - Quinn, Martin

A2 - Strauss, Erik

PB - Routledge/ Taylor and Francis Group

ER -