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Optimization of innovation features in mobile-based attendance application

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Improved Human Resources Performance can be realized in the employee’s absence. The sophistication of technology to accommodate the absence is the use of a Mobile-Based Attendance Application. Attendance can be used to measure employee performance. One of the measuring tools in measuring performance is the Key Performance Indicator (KPI). KPI values can be obtained from the Mobile-based Attendance Application, as currently implemented by an IT Company. But in its development, there is a shortage on the application features of Daily Attendance, Leave, Report Recaps Attendance and Report Recaps Leave. The value engineering method with the Analytical Hierarchy Process is used in this paper to obtain prioritized alternatives in the development of application feature updates. The results of the research show that the alternative with the largest percentage is owned by Alternative IV (45.6%). These results indicate that this alternative can be used as a recommendation for renewal of attendance application features on IT Company. Alternative IV shows optimal results such as the realization of application feature requirements for users, consumption of fewer workdays for 1-2 days, low costs, easy-to-understand feature design, and uncomplicated programming techniques.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
18--26
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
  • Universitas Atma Jaya Yogyakarta Department of Industrial Engineering, Yogyakarta 55281, Indonesia
autor
  • Universitas Atma Jaya Yogyakarta Department of Industrial Engineering Yogyakarta 55281, Indonesia
autor
  • Universitas Atma Jaya Yogyakarta Department of Industrial Engineering Yogyakarta 55281, Indonesia
Bibliografia
  • [1] M.S.S. Larsen, & A.H. Lassen. Design parameters for smart manufacturing innovation processes. Denmark: Elsevier B.V, 2020, pp. 365-370.
  • [2] V. Singh, A. Kumar and T. Singh, "Impact of TQM on organisational performance: The case of Indian manufacturing and service industry," Operations Research Perspectives 5, pp. 199-217, 2018.
  • [3] S. Hannah, et al. “Identifying categories of service innovation: A review and synthesis of the literature”. Journal of Business Research, vol. 69, pp. 2401-2408, 2016.
  • [4] K.W. Lewandowska & M.K. Olejnik. Logistics 4.0 Maturity in Service Industry: Empirical Research Results. Ireland: Elsevier B.V, 2019, pp. 1058-1065.
  • [5] C. Oraedu. “How relationship value and quality motivate positive word-of-mouth behaviour”. Emerald Publishing Limited, pp. 1-24, 2020.
  • [6] P. Chan-Sik, et al. ”BIM-based idea bank for managing value engineering ideas”. International Journal of Project Management, pp. 699-713, 2017.
  • [7] P.H.P. Setti, O.C. Junior, & C.C.A. Estorilio. “Integrated product development method based on Value Engineering and design for assembly concepts”. Journal of Industrial Information Integration, 2021.
  • [8] M.C. Peñate-Valentín, M.d.C. Sánchez-Carreira, & Á. Pereira. “The promotion of innovative service business models through public procurement: An analysis of Energy Service Companies in Spain”. Sustainable Production and Consumption, pp. 1857-1868, 2021.
  • [9] X. Vence and Á. Pereira, "Eco-innovation and Circular Business Models as drivers for a circular economy," Contaduría y Administración 64 (1), pp. 1-19, 2019.
  • [10] F.H. Taques, M.G. Lopez, L.F. Basso, & N. Areal. “Indicators used to measure service innovation and manufacturing”. Journal of Innovation & Knowledge, vol. 6, pp. 11-26, 2021.
  • [11] M. Lewandowski. “Designing the business models for circular economy-towards the conceptual framework”. Sustainability (Switzerland), pp. 1-28, 2016.
  • [12] S. Fernando, K. Panuwatwanich, & D. Thorpe. “Introducing an innovation promotion model for construction projects”. Emerald Publishing Limited, pp. 1-19, 2020.
  • [13] M. Cinelli, M. Kadzinski, M. Gonzalez, & R. Slowinski. “How to support the application of multiple criteria decision analysis?”. Omega, vol. 96, 2020.
  • [14] E. Taghavi, A. Fallahpour, K.Y. Wong, & S.A. Hoseini. “Identifying and prioritizing the effective factors in the implementation of green supply chain management in the construction industry”. Sustainable Operations and Computers, pp. 97-106, 2021.
  • [15] M. Marzouk, & M. Sabbah. “AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain”. Cleaner Environmental Systems, vol. 2, 2021.
  • [16] A. Haruna, N. Shafiq, & O. Montasir. “Building information modelling application for developing sustainable building”. Ain Shams Engineering Journal, pp. 293-302, 2021.
  • [17] J. Aoun, et al. “A hybrid Delphi-AHP multi-criteria analysis of Moving Block and Virtual Coupling railway signalling”. Transportation Research Part C, vol. 129, 2021.
  • [18] S. Farshidi, S. Jansen, & M. Deldar. “A decision model for programming language ecosystem selection: Seven industry case studies”. Information and Software Technology, 2021.
  • [19] S. Markovic, et al. “Business-to-business open innovation: COVID-19 lessons for small and medium-sized enterprises from emerging markets”. Technological Forecasting & Social Change, vol. 170, 2021.
  • [20] B. Schmid, E. Raju and P. K. M. Jensen, "COVID-19 and business continuity – learning from the private sector and humanitarian actors in Kenya," Progress in Disaster Science 11, p. 100181, 2021.
  • [21] O. Tønnessen, A. Dhir, & B.T. Flåten. “Digital knowledge sharing and creative performance: Work from home during the COVID-19 pandemic”. Technological Forecasting & Social Change, vol. 170, 2021.
  • [22] M. Zhong, et al. “Emerging Organic Contaminants in Chinese Surface Water: Identification of Priority Pollutants”. Engineering, 2021.
  • [23] M. Haddad, & D. Sanders. “Selection of discrete multiple criteria decision making methods in the presence of risk and uncertainty”. Operations Research Perspectives, vol. 5, pp. 357-370, 2018.
  • [24] L. Miles, Techniques of Value Analysis and Engineering, New York: McGraw – Hill Book Company, 1972.
  • [25] F. Abastante, et al. “A new parsimonious AHP methodology: assigning priorities to many objects by comparing pairwise few reference objects”. Expert Systems with Applications, vol. 127, pp. 109-120, 2019.
  • [26] N. Iheanachor, Y. David-West, & I. O. Umukoro. “Business model innovation at the bottom of the pyramid – A case of mobile money agents”. Journal of Business Research, vol. 127, pp. 96-107, 2021.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1ee5bb5c-1521-4364-8bb7-ff3d1248b624
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