• Ei tuloksia

Future research recommendations

researchers might argue that some constructs operationalized in the framework might be less or more specific and relevant with a given context. The issue of the data collection is directly linked with the research framework, and thus might present a potential limitation, despite that our study is based on huge empirical evidence (33886 firms).

The third limitation comes also from the second and third publications because one might argue that a meta-analysis study suffers from inherent limitations. On the one hand, by definition, the meta-analytic findings depend on the quality of secondary data (available primary studies) used. Several steps are taken to address this issue and relevant explanations are given in individual publications. On the other hand, the combination of apples and oranges, or trying to synthesize results from studies that might not be conceptually comparable. Again, to overcome this issue we followed the most recent recommendations from prominent authors in the field and provided a detailed and transparent explanation of the methodology followed.

The fourth limitation is related to data used to demonstrate the proposed sustainability measurement method in Publication IV. Although some assumptions are made and many steps to curate the data as much as possible are taken, the procedure we followed to extract sustainability data from GRI sustainability reports might be debatable. Thus, although the data used may, or may not be different from a real-life case, we are confident that the proposed method is robust as shown by sensitivity analysis.

Overall, when scrutinizing results from this dissertation one should consider such limitations despite promising findings drawn from extensive sources and empirical evidence.

5.6

Future research recommendations

The recognition of the above-mentioned limitations presents opportunities for potential future work.

One fruitful direction is to extend the proposed method in Publication IV by adding additional techniques to deal with uncertainty and/or aggregation of criteria into key performance indicators. Other techniques could potentially improve the measurement model and generate more accurate and pertinent results.

Another research direction is to try and collected sustainability performance-related data directly from managers or databases owned by organizations. The utilization of such data could shed light on hidden interactions on sustainability dimensions and would uncover more insights that could be used to improve further the proposed solution.

Future work can also focus on the validation of the proposed method in different SC configurations and industries. For example, applying it in the oil and gas industry or in the construction sector might lead to interesting findings. Although the proposed solution uses SSCM practices as measurement criteria, other researchers can try to develop a set of standardized indicators that can be used in various processes and industries. The proposed method can also process such indicators without any modification needed.

Finally, fruitful research directions include the examination of relationships between SC design or configuration with the performance measurement approaches listed in Publication I. The integration of the proposed solution into a software management system would be very significant as it would allow quick, easy, and real-time performance measurement and monitoring. This in turn would allow to make more informed decisions and improve sustainability management of SCs.

65

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