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| Articles |
| Interaction and optimal decisions of sourcing strategy and selling mode in online platforms. By Cui, Huiming;Zheng, Bin;Li, Sijie;Xue, Jingjing International Transactions in Operational Research. Sep2026, Vol. 33 Issue 5, p2921-2949. 29p. Abstract :In recent years, online platforms such as Amazon and JD.com have increasingly introduced private labels (PL) to enhance their competitive edge, leading to conflicts with national brands (NB). A critical decision for these platforms lies in sourcing of PL products: either from third‐party manufacturers (strategy T) or NB manufacturers (strategy M). In turn, NB manufacturers must strategically determine their selling modes on platforms, opting for either reselling or agency mode, in response to the platform`s PL sourcing strategy. This study explores the intricate interactions between platform`s PL sourcing strategies and NB manufacturer`s selling mode choices, revealing several significant insights. When commission rates are low (high), NB manufacturers prefer the agency (reselling) mode. Interestingly, their preferences for selling modes differ under varying sourcing strategies. Specifically, under strategy T, NB manufacturers favor the agency mode when commission rates are moderate and the market size of PL products is large, while under strategy M the reselling mode becomes more advantageous. Furthermore, heightened competition increases the appeal of the agency mode under strategy T and the reselling mode under strategy M for NB manufacturers. From the platform`s perspective, strategy M is preferred when brand spillover effects are significant and the market size of PL products is relatively small. However, under high competition intensity, the platform tends to favor strategy T with reselling mode and strategy M with agency mode. Notably, as competition intensifies, the sales quantity of PL products consistently decreases, while the sales quantity of NB products shows potential for increase. | |||
| Optimal product design and pricing decisions under "do‐it‐yourself" service introduction in the retail channel. By Wang, Junbin International Transactions in Operational Research. Sep2026, Vol. 33 Issue 5, p3359-3384. 26p. Abstract :Enhancing consumer experience is a critical driver for optimizing the efficiency of retailing services, with the "do‐it‐yourself" (DIY) service emerging as a strategic cornerstone in retail channels. To address this, this study examines the challenges of product design, pricing, and revenue management associated with the integration of DIY services in a typical retailing channel using a game‐theoretical model. In the model, the manufacturer determines whether to offer DIY products and the extent of consumer participation, taking into account consumer preferences and the channel power structure, while also establishing the wholesale pricing of both existing standard products and newly introduced DIY products. Concurrently, the retailer sets the retail pricing of both products. The analysis reveals that the introduction of DIY products, which require active consumer involvement, generates mutual benefits for both the manufacturer and the retailer. However, when the retailer holds dominant power in the channel, the value of introducing DIY products diminishes for the manufacturer, as well as for the overall channel efficiency. To address this, the retailer can incentivize the manufacturer to enhance consumer participation in DIY products through targeted subsidies, thereby improving the efficiency of the entire channel. Furthermore, this study proposes tailored subsidy schemes under varying conditions. | |||
| Trade with a rural cooperative or not: rural e‐commerce channel choices for farmers and e‐tailers. By Du, Heng;Xu, Peng International Transactions in Operational Research. Sep2026, Vol. 33 Issue 5, p3422-3452. 31p. Abstract :Motivated by the fact that there are two typical e‐commerce channel modes between farmers and an e‐tailer in rural areas, this paper investigates two channel formats: direct mode and rural cooperative mode. We adopt three methods to study the rural e‐commerce channel selection, including game theory, field interview, and agent‐based simulation (ABS). We first develop a game theory model to compare two e‐commerce channel structures. Further, the field interview and ABS are utilized to verify the reasonability of the theory model. Last, two rural cooperative channel modes are explored. The analysis reveals that: (1) under certain cases, the rural cooperative`s production support reduces farmers` production enthusiasm instead. (2) There exist "win–win" situations benefiting farmers and the e‐tailer simultaneously. (3) Our theoretical results are effective through the simulation demonstration. (4) The rural cooperative prefers the cooperative direct selling mode in most cases. | |||
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| News |
| Shalimar Paints Q4 net loss narrows to 6.18cr, revenue down 14% to Rs 153 cr By Economic Times; June 2, 2026 |
| Tupperware names Ankur Damani as India Commercial Director and Country Head to spearhead omni channel growth strategy By Economic Times; June 2, 2026 |
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